metacoder_workshop
2022-10-25
1.0 - install packages, load libraries
Here we source the bit of code that performs this operation. essentially, this one-line command runs an entire R script file. This can be handy when you load the same libraries in different steps of your analysis
source("./code/install_packages_load_libraries.R")2.0 - load and check data
Here we will load data from 3 species in the Brassicacea family experiment: Arabdopsis thaliana, Brassica oleraceae and Isatis tinctoria. This data has been heavily filtered to reduce complexity and size.
You will see that the data is stored as a list of 3 phyloseq objects. we can acess this in different ways
# load object
load("./data/ps_rarefied.Rdata")
#check ps object
ps_rarefied # full ps object## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 1000 taxa and 143 samples ]
## sample_data() Sample Data: [ 143 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 1000 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 1000 reference sequences ]otu_table(ps_rarefied)[1:5,1:5] # 5 first rows across 5 first columns## OTU Table: [5 taxa and 5 samples]
## taxa are rows
## 49_16S 50_16S 51_16S 52_16S 53_16S
## bASV_5 90 299 109 87 231
## bASV_7 25 156 154 446 58
## bASV_9 157 191 264 108 145
## bASV_11 337 248 193 216 100
## bASV_12 201 437 272 71 154tax_table(ps_rarefied)[1:5,] # 5 first rows across all columns## Taxonomy Table: [5 taxa by 8 taxonomic ranks]:
## Kingdom Phylum Class
## bASV_5 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_7 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_9 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_11 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_12 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## Order Family Genus Species
## bASV_5 "o__Burkholderiales" "f__Comamonadaceae" "g__Acidovorax" "s__"
## bASV_7 "o__Pseudomonadales" "f__Pseudomonadaceae" "g__Pseudomonas" "s__"
## bASV_9 "o__Chitinophagales" "f__Chitinophagaceae" "g__Niastella" "s__"
## bASV_11 "o__Sphingomonadales" "f__Sphingomonadaceae" "g__Sphingomonas" "s__"
## bASV_12 "o__Streptomycetales" "f__Streptomycetaceae" "g__Streptomyces" "s__"
## ASV_id
## bASV_5 "bASV_5"
## bASV_7 "bASV_7"
## bASV_9 "bASV_9"
## bASV_11 "bASV_11"
## bASV_12 "bASV_12"ps_rarefied@sam_data [1:5,1:5]# metadata## Target Harvest_ID Block_row_column Sp_speed Stress
## 49_16S 16S 49 1.2.4 M1 Control
## 50_16S 16S 50 2.3.1 M1 Control
## 51_16S 16S 51 3.2.9 M1 Control
## 52_16S 16S 52 4.1.6 M1 Control
## 53_16S 16S 53 5.6.14 M1 Control3.0 - create a single taxmap object for a single heat tree
For a simple start, let’s create individual heat trees from an individual plyloseq object
# make a copy of you rarefied ps object
ps_rarefied_filt<-ps_rarefied
#remove unecessary taxonomic info (dada2id, "s__" and "ASV_id") by updating the tax table with a subset of the tax table
tax_table(ps_rarefied_filt)<-tax_table(ps_rarefied_filt)[,1:6]
# let's remove the "r__"ranks from the taxonomy, they can be useful but will pollute our plot
tax_table(ps_rarefied_filt)[, colnames(tax_table(ps_rarefied_filt))] <- gsub(pattern = "[a-z]__", # regular expression
x = tax_table(ps_rarefied_filt)[, colnames(tax_table(ps_rarefied_filt))], # "df"
replacement = "") # replacement for pattern
# transform from phyloseq to taxmap object
taxmap_obj<-parse_phyloseq(ps_rarefied_filt)3.1 - EXERCISE check taxmap object you just created
taxmap_obj is a object from the Taxmap class, but can be navigated as a nested list. explore taxmap_obj with “$” and tab-completion. can you find the representative sequences in the data layer?
# the taxmap object is a data container, just like phyloseq
taxmap_obj
# this object has much more than what you can see on one print, just like much other R output you generate.
taxmap_obj$data$tax_data # otu tables...
taxmap_obj$taxa # taxonomy names, rnks and codes3.2 - create the heat tree visualization
Now we can create a heat tree, with colors indicating the number of sequences in each taxa.
The first tree is actually quite busy - depending on your goal, you might want to further filter the input ASVs to a smaller subset like all differentially abudnant ASVs or features defined as core microbiome communities
# create a heat tree!
set.seed(1) # set a seed so the layout can be exactly the same every time
heat_tree(.input = taxmap_obj, # your taxmap object from the metacoder package
node_size = n_obs, # n_obs is a function that calculates the number of OTUs per taxon
node_color = n_obs, # this function from metacoder is called with non-standard evaluation (no arguments)
node_label = taxon_names, # labels for the taxons
layout = "davidson-harel", # The primary layout algorithm
initial_layout = "reingold-tilford", # The layout algorithm that initializes node locations
output_file = "./results/heat_tree_test.pdf") # A PDF file you will export this plot to
Can you well which is the most diverse phylum? which are the 3 most diverse families?
QUESTION BREAK
3.3 - EXERCISE check arguments
check what’s produced with the n_obs argument/function used in the tree above and also check the taxa names
#n_obs is a function that takesyour taxmap object as input, and return the number of sequences in each taxa
n_obs(taxmap_obj)
#in metacoder, ab, ac, ad, etc refer each to a different taxonomy
taxmap_obj$taxa3.4 - Remove some taxa the heat tree visualization
It might be too dense/complex to look, so let’s remove taxa names that can be unfamiliar like “phylum NB1-J”
# create a heat cleaner tree!
taxmap_obj %>%
metacoder::filter_taxa(grepl(pattern = "^[a-zA-Z]+$", taxon_names)) %>% # remove "odd" taxa
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = n_obs,
layout = "davidson-harel",
initial_layout = "reingold-tilford",
output_file = "./results/heat_tree_test_cleaner.pdf")
3.5 - modify the tree with available options
There are many options to customize these trees, we will only explore a few of them
3.5.1 - truncate at order level
This tree stops at Order level
# create a heat cleaner tree!
taxmap_obj %>%
metacoder::filter_taxa(grepl(pattern = "^[a-zA-Z]+$", taxon_names)) %>% # remove "odd" taxa
metacoder::filter_taxa(taxon_ranks == "Order", supertaxa = TRUE) %>% # subset to the Order rank
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = n_obs,
layout = "davidson-harel",
initial_layout = "reingold-tilford",
output_file = "./results/heat_tree_order.pdf")
3.5.2 - make individual roots for specific taxonomic groups
This tree has a separated root at different taxonomic levels, and custom colors
# create a heat cleaner tree!
taxmap_obj %>%
metacoder::filter_taxa(grepl(pattern = "^[a-zA-Z]+$", taxon_names)) %>% # remove "odd" taxa
metacoder::filter_taxa(taxon_names %in% c("Rhizobiales", "Actinobacteria", "Xanthomonadaceae"),
subtaxa = TRUE,
supertaxa = FALSE) %>%
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = n_obs,
node_color_range = c("blue", "yellow", "pink", "red"),
layout = "davidson-harel",
initial_layout = "reingold-tilford",
output_file = "./results/heat_tree_sep_roots.pdf")
3.6 - Compare 2 groups of samples
lets now compare ASV abundances between two groups of samples, such as plant species in brassicaceae lineage I and II (Sp_Lineage_Walden).
3.6.1 - calculate taxon abundance
“tax_abund” is added as a data layer of the taxmap object. it defines the number of sequences on every single taxon - all phyla, all classes, orders… this is different from counts of every single ASV! this data layer is needed on the next step.
#get abundance per taxon
taxmap_obj$data$tax_abund<-calc_taxon_abund(obj = taxmap_obj, # the taxmap object
data = "otu_table", # layer of data table to use
cols = taxmap_obj$data$sample_data$sample_id) #sample names
#check the new data layer you created. note that "ab" refers to "k__Bacteria", and "aac" to "p__Proteobacteria".
taxmap_obj$data$tax_abund## # A tibble: 457 x 144
## taxon_id `49_16S` `50_16S` `51_16S` `52_16S` `53_16S` 54_16~1 55_16~2 56_16~3
## <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 ab 10000 10000 10000 10000 10000 10000 10000 10000
## 2 ac 7137 7430 6677 7995 7774 7459 7183 7574
## 3 ad 1188 1012 1351 739 769 951 1242 998
## 4 ae 739 1152 1129 295 535 938 1085 829
## 5 af 355 101 349 363 267 186 135 165
## 6 ag 191 82 189 309 286 208 134 147
## 7 ah 42 65 80 22 40 47 28 81
## 8 ai 23 24 43 38 40 21 13 27
## 9 aj 10 7 18 31 12 5 6 0
## 10 ak 16 18 21 13 25 19 27 17
## # ... with 447 more rows, 135 more variables: `57_16S` <dbl>, `58_16S` <dbl>,
## # `59_16S` <dbl>, `60_16S` <dbl>, `61_16S` <dbl>, `62_16S` <dbl>,
## # `63_16S` <dbl>, `64_16S` <dbl>, `65_16S` <dbl>, `66_16S` <dbl>,
## # `67_16S` <dbl>, `68_16S` <dbl>, `69_16S` <dbl>, `70_16S` <dbl>,
## # `71_16S` <dbl>, `72_16S` <dbl>, `73_16S` <dbl>, `74_16S` <dbl>,
## # `75_16S` <dbl>, `76_16S` <dbl>, `77_16S` <dbl>, `78_16S` <dbl>,
## # `79_16S` <dbl>, `80_16S` <dbl>, `81_16S` <dbl>, `82_16S` <dbl>, ...#quickly compare those values to the OTU table to see the differnce:
taxmap_obj$data$otu_table## # A tibble: 1,000 x 145
## taxon_id otu_id `49_16S` `50_16S` `51_16S` `52_16S` `53_16S` 54_16~1 55_16~2
## <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 jq bASV_5 90 299 109 87 231 40 78
## 2 jr bASV_7 25 156 154 446 58 191 376
## 3 js bASV_9 157 191 264 108 145 128 245
## 4 jt bASV_11 337 248 193 216 100 499 403
## 5 ju bASV_12 201 437 272 71 154 240 362
## 6 jv bASV_13 226 178 89 162 115 255 230
## 7 jw bASV_14 374 159 301 230 321 167 229
## 8 fi bASV_15 157 49 72 135 26 199 92
## 9 jy bASV_16 62 373 173 96 144 255 201
## 10 fj bASV_18 317 160 161 143 191 165 182
## # ... with 990 more rows, 136 more variables: `56_16S` <dbl>, `57_16S` <dbl>,
## # `58_16S` <dbl>, `59_16S` <dbl>, `60_16S` <dbl>, `61_16S` <dbl>,
## # `62_16S` <dbl>, `63_16S` <dbl>, `64_16S` <dbl>, `65_16S` <dbl>,
## # `66_16S` <dbl>, `67_16S` <dbl>, `68_16S` <dbl>, `69_16S` <dbl>,
## # `70_16S` <dbl>, `71_16S` <dbl>, `72_16S` <dbl>, `73_16S` <dbl>,
## # `74_16S` <dbl>, `75_16S` <dbl>, `76_16S` <dbl>, `77_16S` <dbl>,
## # `78_16S` <dbl>, `79_16S` <dbl>, `80_16S` <dbl>, `81_16S` <dbl>, ...3.6.2 - calculate taxon prevalence/occumpancy
here we define taxa “occurrence” by determining in how many samples of each group they appear
#get occurrence of per lineage
taxmap_obj$data$tax_occ_2lineages <- calc_n_samples(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data$Sp_Lineage_Walden) # What category each sample is
#check the object. it shows how many times a taxon is represented in lineage I or II
taxmap_obj$data$tax_occ_2lineages## # A tibble: 457 x 3
## taxon_id lineage_II lineage_I
## <chr> <int> <int>
## 1 ab 95 48
## 2 ac 95 48
## 3 ad 95 48
## 4 ae 95 48
## 5 af 95 48
## 6 ag 95 48
## 7 ah 95 48
## 8 ai 95 48
## 9 aj 94 40
## 10 ak 95 48
## # ... with 447 more rows3.6.3 - calculate log fold changes between two groups
Here we see log fold changes
# this will calculate log2 median ratios and p values for a wilcoxcon test within taxas in this lineage
taxmap_obj$data$diff_table_2lineages <- compare_groups(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data$Sp_Lineage_Walden)
#check the object.
taxmap_obj$data$diff_table_2lineages## # A tibble: 457 x 7
## taxon_id treatment_1 treatment_2 log2_median_ratio media~1 mean_d~2 wilcox_~3
## <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl>
## 1 ab lineage_II lineage_I 0 0 0 NaN
## 2 ac lineage_II lineage_I 0.126 624. 5.56e+2 1.34e-7
## 3 ad lineage_II lineage_I 0.0991 68 -4.57e+0 4.77e-1
## 4 ae lineage_II lineage_I -0.795 -394. -3.58e+2 5.75e-7
## 5 af lineage_II lineage_I 0.0316 5.5 -1.54e-2 9.76e-1
## 6 ag lineage_II lineage_I -0.448 -65.5 -6.67e+1 1.77e-5
## 7 ah lineage_II lineage_I -0.257 -11.5 -1.05e+1 1.93e-1
## 8 ai lineage_II lineage_I -0.665 -20.5 -2.11e+1 1.10e-6
## 9 aj lineage_II lineage_I -0.115 -1 -7.21e-1 7.78e-1
## 10 ak lineage_II lineage_I -0.445 -6.5 -6.32e+0 1.23e-3
## # ... with 447 more rows, and abbreviated variable names 1: median_diff,
## # 2: mean_diff, 3: wilcox_p_value3.6.4 - plot heat tree showing log-fold differences
tan indicates lineage II, cyan indicates lineage I
taxmap_obj %>%
metacoder::filter_taxa(grepl(pattern = "^[a-zA-Z]+$", taxon_names)) %>% # remove "odd" taxa
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = log2_median_ratio,
node_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
node_color_range = c("cyan", "gray", "tan"), # The color palette used
layout = "davidson-harel",
node_color_axis_label = "Log2 ratio, cyan for Lineage I",
initial_layout = "reingold-tilford",
output_file = "./results/heat_tree_diff_lineages.pdf")
3.6.5 - supress non-significant differences and plot log changes again
this plot indicates log fold changes, but includes p values > 0.05. let’s run any non-significat differences into a median log ratio of zero, shading them as grey in the plot
# set differential log ratio to 0 based on p values below 0.05
taxmap_obj$data$diff_table_2lineages$log2_median_ratio[taxmap_obj$data$diff_table_2lineages$wilcox_p_value > 0.05] <- 0
# plot the heatmap
taxmap_obj %>%
metacoder::filter_taxa(grepl(pattern = "^[a-zA-Z]+$", taxon_names)) %>% # remove "odd" taxa
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = log2_median_ratio,
node_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
node_color_range = c("cyan", "gray", "tan"), # The color palette used
layout = "davidson-harel",
node_color_axis_label = "Log2 ratio, cyan for Lineage I",
initial_layout = "reingold-tilford",
output_file = "./results/heat_tree_diff_lineages_pcut.pdf")
From this figure, we could see a larger presence of low-diversity phyla in lineage I (cyan). lineage II has a clear increase in Sphingomonadaceae. both lineages seem to be colonized by several, but different, bacteroidia and actinobacteria. Family Comamonadaceae and Chitinophagaceae seem to be the most diverse
QUESTION BREAK
3.7 - Compare 3 or more groups of samples
If you have more than 2 groups, like we have 3 different stresses, you can plot a matrix of heat trees with a dedicated function from the same package. before we do that, let’s first calculate taxon abundance, prevalence, and log-fold changes like we did in chunks 3.5.1 to 3.5.3
3.7.1 - calculate abudance, prevalence and log-fold in 3 treatment groups
#abundance per taxon was already calculated in chunk 3.5.1, now we jsut overwrite
taxmap_obj$data$tax_abund<-calc_taxon_abund(obj = taxmap_obj,
data = "otu_table",
cols = taxmap_obj$data$sample_data$sample_id)
#get occurrence of ASVs per treatment
taxmap_obj$data$tax_occ_3treatments <- calc_n_samples(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data$Stress) # now refer to Stress, that has 3 groups
# calculate log2 median ratios and p values for a wilcoxcon test within taxas in this stress treatment groups
taxmap_obj$data$diff_table_3treatments <- compare_groups(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data$Stress)
# set differential log ratio to 0 based on adjusted p values
taxmap_obj$data$diff_table_3treatments$log2_median_ratio[taxmap_obj$data$diff_table_3treatments$wilcox_p_value > 0.05] <- 0
# because of potential ambiguity in non-standard evaluation, we should change this column name. this is only needed because of the column taxmap_obj$data$diff_table_2lineages$log2_median_ratio we created in chunk 3.5.3
names(taxmap_obj$data$diff_table_3treatments)[4]<-"log2_median_ratio_stress"3.7.2 - Plot a matrix of heat trees
Now that we have log-fold differences in pariwise treatment comparisons, let’s compare them in a matrix of heat trees
#plot matrix tree
set.seed(1)
heat_tree_matrix(taxmap_obj,
data = "diff_table_3treatments", # this is the table with the data you want to plot
node_size = n_obs, # n_obs is a function that calculates, in this case, the number of OTUs per taxon
node_label = taxon_names,
node_color = log2_median_ratio_stress, # A column from `taxmap_obj$data$diff_table_3treatments`
node_color_range = diverging_palette(), # The built-in palette for diverging data
node_color_trans = "linear", # The default is scaled by circle area
node_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
edge_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
node_size_axis_label = "Number of OTUs",
node_color_axis_label = "Log2 ratio median proportions",
layout = "davidson-harel", # The primary layout algorithm
initial_layout = "reingold-tilford", # The layout algorithm that initializes node locations
output_file = "./results/matrix_heat_tree_Stress.pdf") # Saves the plot as a pdf file
3.7.3 - EXERCISE change grouping variable
by changing the code above, Make a matrix of heat trees that plots the differences between the 3 plant species we are using. The metadata for that is present in the metadata column “sp_full_name”. which alphaproteobacteria are more common in Brassica oleracea than Isatis tinctoria?
QUESTION BREAK
3.8 - create a matrix of heat trees from a phyloseq object with a single function
These trees are interesting, but as you start exploring real data and multiple options you will need a more efficiency way of running all this code. for this, we create a custom function that handles all of it at once,
3.8.1 - Define a custom function
this custom function will:
1 - truncate the taxonomy table to genus level,
2 - remove the g__ and f__ etc from taxonomy table 3 - parse the
phyloseq object into a taxmap object, 4 - calculate taxa occurence,
abudance and log-fold differences between groups of samples that you
define 5 - plot a heat tree
It’s arguments are 1 - ps_object = a phyloseq object 2 - sample_group = a (quoted) column from the sample metadata that you want to compare
The function will count the number of different groups in your metadata column to decide if it will plot a heat tree (2 treatments/groups) or matrix of heat trees (3+ treatments). the function should fail if your metadata only has 1 sample group!
phyloseq_to_heat_tree_matrix<-function(ps_object, sample_group){
# this function output is a heat trees comparing metadata. the input is based on a phyloseq object
# ps object = a phyloseq object, containing sample metadata, otu table, and taxonomy table
# sample_group = the name of a column in your emtadata that you want to compare in the heat tree. it has to be quoted.
# this function will create a matrix of heat trees if your metadata has more than 2 groups. it should fail if it has only 1 group
#remove unecessary taxonomic info (dada2id, "s__" and "ASV_id) by updating the tax table with a subset of the tax table
tax_table(ps_object)<-tax_table(ps_object)[,1:6]
# let's remove the "r__"ranks from the taxonomy, they can be useful but will pollute our plot
tax_table(ps_object)[, colnames(tax_table(ps_object))] <- gsub(pattern = "[a-z]__", # regular expression pattern to search for
x = tax_table(ps_object)[, colnames(tax_table(ps_object))], # "df"
replacement = "") # replacement for pattern
# transform from phyloseq to taxmap object
taxmap_obj<-parse_phyloseq(ps_object)
#get abundance per taxon
taxmap_obj$data$tax_abund<-calc_taxon_abund(obj = taxmap_obj,
data = "otu_table",
cols = taxmap_obj$data$sample_data$sample_id)
#get occurrence of ASVs per treatment
# the sample groups needs some wrangling to fit within the soft code of the function
taxmap_obj$data$tax_occ<- calc_n_samples(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data[colnames(taxmap_obj$data$sample_data)==sample_group][[1]])
# calculate log2 median ratios and p values for a wilcoxcon test within taxas in this stress treatment groups
# the sample groups needs some wrangling to fit within the soft code of the function
taxmap_obj$data$diff_table <- compare_groups(obj = taxmap_obj,
data = "tax_abund",
cols = taxmap_obj$data$sample_data$sample_id,
groups = taxmap_obj$data$sample_data[colnames(taxmap_obj$data$sample_data)==sample_group][[1]])
# set differential log ratio to 0 based on adjusted p values
taxmap_obj$data$diff_table$log2_median_ratio[taxmap_obj$data$diff_table$wilcox_p_value > 0.05] <- 0
# define number of compared factors
factors_compared<-taxmap_obj$data$sample_data[colnames(taxmap_obj$data$sample_data)==sample_group][[1]]
# draw the plot based on an if else statement: if there are 2 groups, plot a a heat tree comparing abundances between both groups, else plot a matrix of ehat trees. this function will fail if you only have 1 sample group!
if (length(unique(factors_compared)) == 2) {
set.seed(1)
output<- taxmap_obj %>%
heat_tree(
node_label = taxon_names,
# data = "diff_table",
node_size = n_obs,
node_color = log2_median_ratio,
node_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
node_color_range = c("cyan", "gray", "tan"), # The color palette used
layout = "davidson-harel",
initial_layout = "reingold-tilford")
} else {
set.seed(1)
output<-heat_tree_matrix(taxmap_obj,
data = "diff_table", # this is the table with the data you want to plot
node_size = n_obs, # n_obs is a function that calculates, in this case, the number of OTUs per taxon
node_label = taxon_names,
node_color = log2_median_ratio, # A column from `taxmap_obj$data$diff_table_3treatments`
node_color_range = diverging_palette(), # The built-in palette for diverging data
node_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
edge_color_interval = c(-3, 3), # The range of `log2_median_ratio` to display
node_size_axis_label = "Number of OTUs",
node_color_axis_label = "Log2 ratio median proportions",
layout = "davidson-harel", # The primary layout algorithm
initial_layout = "reingold-tilford") # The layout algorithm that initializes node locations
}
# clearly define the output object you will get from the function
return(output)
}3.8.2 - creating heat trees from a custom function
Now that we defined a new function that takes a phyloseq object as a data input and a column of the metadata as an argument, we can more easely produce heat trees across the variables.
# run custom function
heat_tree_stress<-phyloseq_to_heat_tree_matrix(ps_object = ps_rarefied, sample_group = "Stress")
heat_tree_lineage<-phyloseq_to_heat_tree_matrix(ps_object = ps_rarefied, sample_group = "Sp_Lineage_Walden")
# check new trees
heat_tree_stress
heat_tree_lineage
3.8.3 - EXERCISE make more heat trees!
Now that you know the basics, let’s manipulate some of these visualizations
3.8.3.1 - EXERCISE use custom function
Now produce new heat tree, based on metadata like “Sp_full_name”, “greenhouse_compartment” or “Speed”!
3.8.3.2 - EXERCISE see Burkholderiales and Rhizobiales at ASV level
Our trees so far stopped at genus level, because ploting 2000 ASVs would overcrowd the plot. Show the “Sp_full_name” effect at ASV level, but only on Burkholderiales and Rhizobiales. What do you have to change, and where? You can copy-paste and adjust the code we saw above, or make a new version of the custom function
3.8.3.3 - EXERCISE remove kingdom from taxonomy table
Our trees so far have k__Bacteria as a shared root. What will happen if you remove that taxonomic information? to make this change, What do you have to alter? You can copy-paste and adjust the code we saw above, or make a new version of the custom function
4.0 - create a list of taxmap objects for a single heat tree
Now that we have a function that takes a single phyloseq object as input, let’s run it across all the species in the dataset
4.1 - create a list of phyloseq objects
First, let’s split the phyloseq object into a list of phyloseq objects according the species
note that the phyloseq input is based on the original phyloseq object, that still contains the ranks as p__Proteobacteria, o__Rhizobiales, etc
# turn a ps object into a list f ps objects
ps_l<- metagMisc::phyloseq_sep_variable(ps_rarefied, variable = "Sp_abb_name")4.2 - check list of phyloseq objects
Let’s check the list we just created. there are different ways we can do this
# check object, which is a list of phyloseq objects (ps_l)
ps_l## $At
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 963 taxa and 48 samples ]
## sample_data() Sample Data: [ 48 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 963 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 963 reference sequences ]
##
## $Bo_M
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 994 taxa and 48 samples ]
## sample_data() Sample Data: [ 48 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 994 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 994 reference sequences ]
##
## $It
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 988 taxa and 47 samples ]
## sample_data() Sample Data: [ 47 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 988 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 988 reference sequences ]# access the Arabidosps phyloseq object
ps_l$At## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 963 taxa and 48 samples ]
## sample_data() Sample Data: [ 48 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 963 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 963 reference sequences ]# access the taxonomy table of the Arabidosps phyloseq object
ps_l$At@tax_table## Taxonomy Table: [963 taxa by 8 taxonomic ranks]:
## Kingdom Phylum Class
## bASV_5 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_7 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_9 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_11 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_12 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_13 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_14 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_15 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_16 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_18 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_19 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_20 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_21 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_23 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_25 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_27 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_29 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_30 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_31 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_32 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_33 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_34 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_35 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_36 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_37 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_38 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_39 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_40 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_41 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_43 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_44 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_45 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_46 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_48 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_49 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_50 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_51 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_52 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_53 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_54 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_55 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_56 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_57 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_58 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_59 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_60 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_61 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_62 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_63 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_64 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_65 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_66 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_67 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_68 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_69 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_70 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_71 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_72 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_73 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_74 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_75 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_76 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_77 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_78 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_79 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_80 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_81 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_82 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_83 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_84 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_85 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_86 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_87 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_88 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_89 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_90 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_91 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_92 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_93 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_94 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_95 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_96 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_97 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_98 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_99 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_100 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_101 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_102 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_103 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_104 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_105 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_106 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_107 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_108 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_109 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_110 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_111 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_112 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_113 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_114 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_115 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_116 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_117 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_118 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_119 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_120 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_121 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_122 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_123 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_124 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_125 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_126 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_128 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_129 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_131 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_132 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_133 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_134 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_135 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_136 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_137 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_138 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_139 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_140 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_141 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_142 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_143 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_144 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_145 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_146 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_147 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_148 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_149 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_151 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_152 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_153 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_154 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_155 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_156 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_158 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_159 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_160 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_161 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_162 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_163 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_164 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_165 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_166 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_168 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_169 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_170 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_171 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_173 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_174 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_175 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_176 "k__Bacteria" "p__Methylomirabilota" "c__Methylomirabilia"
## bASV_177 "k__Bacteria" "p__Armatimonadota" "c__Fimbriimonadia"
## bASV_178 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_180 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_181 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_182 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_183 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_184 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_185 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_186 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_187 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_188 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_189 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_190 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_191 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_192 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_193 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_194 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_195 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_196 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_197 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_198 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_199 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_200 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_201 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_202 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_203 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_204 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_205 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_206 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_207 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_209 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_211 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_212 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_213 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_214 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_215 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_216 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_217 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_218 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_219 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_220 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_221 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_222 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_223 "k__Bacteria" NA NA
## bASV_224 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_225 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_226 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_227 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_228 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_229 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_230 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_231 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_232 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_233 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_234 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_235 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_237 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_238 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_240 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_241 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_242 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_243 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_244 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_245 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_246 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_247 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_249 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_250 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_251 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_252 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_253 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_254 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_255 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_256 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_257 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_258 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_259 "k__Bacteria" "p__Chloroflexi" "c__Chloroflexia"
## bASV_260 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_261 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_262 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_263 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_264 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_265 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_266 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_268 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_269 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_270 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_271 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_272 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_273 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_274 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_275 "k__Bacteria" "p__Chloroflexi" "c__Gitt-GS-136"
## bASV_276 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_277 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_278 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_279 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_280 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_281 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_282 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_283 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_285 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_286 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_288 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_289 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_290 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_291 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_292 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_293 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_294 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_295 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_297 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_298 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_299 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_300 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_302 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_303 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_304 "k__Bacteria" "p__Nitrospirota" "c__Nitrospiria"
## bASV_305 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_306 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_307 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_308 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_309 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_310 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_312 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_313 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_314 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_315 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_316 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_317 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_318 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_319 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_321 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_322 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_323 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_324 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_325 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_326 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_327 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_328 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_330 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_331 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_332 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_333 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_334 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_335 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_336 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_337 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_339 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_340 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_341 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_342 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_343 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_345 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_346 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_347 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_348 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_349 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_350 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_351 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_352 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_353 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_354 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_355 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_356 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_357 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_358 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_359 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_361 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_362 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_363 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_364 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_365 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_366 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_367 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_368 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_369 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_370 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_371 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_372 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_374 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_375 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_376 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_377 "k__Bacteria" "p__Chloroflexi" "c__Gitt-GS-136"
## bASV_378 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_379 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_380 "k__Bacteria" "p__Myxococcota" "c__Myxococcia"
## bASV_381 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_382 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_383 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_384 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_385 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_386 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_387 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_388 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_389 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_390 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_391 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_392 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_395 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_396 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_397 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_399 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_400 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_401 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_402 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_403 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_404 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_406 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_407 "k__Bacteria" "p__Armatimonadota" "c__Fimbriimonadia"
## bASV_408 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_409 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_410 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_411 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_412 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_413 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_414 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_416 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_417 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_418 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_419 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_420 "k__Bacteria" "p__Actinobacteriota" "c__Thermoleophilia"
## bASV_421 "k__Bacteria" "p__Gemmatimonadota" "c__Longimicrobia"
## bASV_422 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_423 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_424 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_425 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_426 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_427 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_428 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_429 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_430 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_431 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_432 "k__Bacteria" "p__Gemmatimonadota" "c__Longimicrobia"
## bASV_433 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_434 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_435 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_436 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_438 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_439 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_440 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_441 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_442 "k__Bacteria" "p__Chloroflexi" "c__Chloroflexia"
## bASV_443 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_446 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_447 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_448 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_449 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_450 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_451 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_453 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_454 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_455 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_456 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_457 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_458 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_459 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_460 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_461 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_462 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_464 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_465 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_466 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_467 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_468 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_469 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_471 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_472 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_474 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_476 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_477 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_478 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_479 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_480 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_481 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_482 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_483 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_484 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_485 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_486 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_487 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_488 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_489 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_490 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_491 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_492 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_493 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_494 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_495 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_496 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_498 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_499 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_500 "k__Bacteria" "p__Actinobacteriota" "c__Thermoleophilia"
## bASV_501 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_503 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_504 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_505 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_506 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_507 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_508 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_509 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_510 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_511 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_512 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_513 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_514 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_515 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_516 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_517 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_518 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_519 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_520 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_521 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_522 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_524 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_525 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_526 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_527 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_528 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_529 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_530 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_531 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_533 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_534 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_535 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_536 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_537 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_539 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_540 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_541 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_542 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_546 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_547 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_548 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_549 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_550 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_551 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_552 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_553 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_554 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_556 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_557 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_558 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_561 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_562 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_563 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_564 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_565 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_567 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_569 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_570 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_571 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_572 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_573 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_574 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_575 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_576 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_577 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_578 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_579 "k__Bacteria" "p__Chloroflexi" "c__KD4-96"
## bASV_580 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_581 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_582 "k__Bacteria" "p__Methylomirabilota" "c__Methylomirabilia"
## bASV_583 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_584 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_585 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_586 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_587 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_590 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_591 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_592 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_593 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_595 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_596 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_597 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_598 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_599 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_600 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_601 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_602 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_603 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_604 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_605 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_606 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_607 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_609 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_611 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_612 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_613 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_614 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_615 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_616 "k__Bacteria" "p__Actinobacteriota" "c__Thermoleophilia"
## bASV_617 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_619 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_621 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_622 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_623 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_624 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_625 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_626 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_627 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_628 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_629 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_632 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_635 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_636 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_637 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_638 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_639 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_640 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_641 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_642 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_643 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_645 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_646 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_647 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_648 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_649 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_650 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_651 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_652 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_653 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_654 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_655 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_657 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_658 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_659 "k__Bacteria" "p__Actinobacteriota" "c__Thermoleophilia"
## bASV_660 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_661 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_662 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_663 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_664 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_665 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_666 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_667 "k__Bacteria" "p__Actinobacteriota" "c__MB-A2-108"
## bASV_668 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_669 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_670 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_672 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_674 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_675 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_676 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_677 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_678 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_682 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_683 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_684 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_687 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_688 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_691 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_692 "k__Bacteria" "p__Chloroflexi" "c__AD3"
## bASV_693 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_694 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_695 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_696 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_698 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_699 "k__Bacteria" "p__Chloroflexi" "c__KD4-96"
## bASV_700 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_701 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_702 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_703 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_704 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_705 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_706 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_707 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_708 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_709 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_711 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_712 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_713 "k__Bacteria" "p__Planctomycetota" "c__Planctomycetes"
## bASV_714 "k__Bacteria" "p__Chloroflexi" "c__Chloroflexia"
## bASV_715 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_716 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_717 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_719 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_720 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_721 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_722 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_724 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_725 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_726 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_728 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_729 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_730 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_731 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_732 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_733 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_735 "k__Bacteria" "p__Armatimonadota" "c__Fimbriimonadia"
## bASV_736 "k__Bacteria" "p__Nitrospirota" "c__Nitrospiria"
## bASV_737 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_738 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_739 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_740 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_741 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_743 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_744 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_745 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_746 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_747 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_749 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_752 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_753 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_754 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_755 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_756 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_757 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_758 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_759 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_760 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_761 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_762 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_763 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_764 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_766 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_767 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_769 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_770 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_771 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_772 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_773 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_776 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_777 "k__Bacteria" "p__Nitrospirota" "c__Nitrospiria"
## bASV_780 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_782 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_784 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_785 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_786 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_787 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_788 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_789 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_791 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_792 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_793 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_794 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_795 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_797 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_798 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_799 "k__Bacteria" "p__Chloroflexi" "c__Ktedonobacteria"
## bASV_800 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_801 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_803 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_804 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_805 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_806 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_807 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_808 "k__Bacteria" "p__Chloroflexi" "c__KD4-96"
## bASV_809 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_810 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_812 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_813 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_814 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_816 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_817 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_819 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_820 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_821 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_822 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_823 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_824 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_825 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_826 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_827 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_828 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_829 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_830 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_831 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_832 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_833 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_835 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_836 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_837 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_838 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_840 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_841 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_842 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_843 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_844 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_845 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_846 "k__Bacteria" NA NA
## bASV_847 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_848 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_849 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_851 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_854 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_855 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_856 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_857 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_858 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_859 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_860 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_861 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_865 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_866 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_867 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_868 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_869 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_870 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_871 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_874 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_875 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_876 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_877 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_878 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_879 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_880 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_882 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_883 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_885 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_886 "k__Bacteria" "p__Deinococcota" "c__Deinococci"
## bASV_887 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_888 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_890 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_891 "k__Bacteria" "p__Myxococcota" "c__Myxococcia"
## bASV_892 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_893 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_895 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_896 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_897 "k__Bacteria" "p__Actinobacteriota" "c__Thermoleophilia"
## bASV_898 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_901 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_902 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_903 "k__Bacteria" "p__Planctomycetota" "c__Planctomycetes"
## bASV_904 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_905 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_906 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_907 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_908 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_909 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_910 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_911 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_912 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_914 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_915 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_916 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_917 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_918 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_920 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_921 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_922 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_923 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_924 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_925 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_926 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_928 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_930 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_931 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_933 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_934 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_935 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_936 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_937 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_939 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_940 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_941 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_945 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_946 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_947 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_948 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_949 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_950 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_951 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_952 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_953 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_954 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_955 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_956 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_958 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_959 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_960 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_961 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_963 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_964 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_966 "k__Bacteria" "p__Chloroflexi" "c__Ktedonobacteria"
## bASV_969 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_972 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_973 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_974 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_975 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_976 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_977 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_979 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_980 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_981 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_982 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_983 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_984 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_986 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_988 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_989 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_990 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_991 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_992 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_994 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_995 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_996 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_998 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_999 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1001 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1003 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1005 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1006 "k__Bacteria" "p__Methylomirabilota" "c__Methylomirabilia"
## bASV_1007 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_1008 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1010 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1011 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1012 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_1013 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1014 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1015 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_1016 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1017 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1018 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1019 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_1020 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_1021 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1022 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_1027 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1028 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_1029 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1030 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1031 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1032 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1033 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1034 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_1035 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1037 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1038 "k__Bacteria" "p__Firmicutes" "c__Bacilli"
## bASV_1039 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_1041 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_1042 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1045 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1046 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1047 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1048 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1049 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_1052 "k__Bacteria" "p__Chloroflexi" "c__Ktedonobacteria"
## bASV_1054 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1055 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_1056 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1057 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1058 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1059 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_1060 "k__Bacteria" "p__Patescibacteria" "c__Saccharimonadia"
## bASV_1061 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1062 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1064 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1066 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1067 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1068 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1070 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1071 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1072 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1073 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1074 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1075 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_1077 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1078 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1079 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_1080 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1081 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_1082 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_1083 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_1084 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1085 "k__Bacteria" "p__Cyanobacteria" "c__Vampirivibrionia"
## bASV_1086 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1087 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1088 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1089 "k__Bacteria" "p__Chloroflexi" "c__Chloroflexia"
## bASV_1090 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1091 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1092 "k__Bacteria" "p__Nitrospirota" "c__Nitrospiria"
## bASV_1094 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_1095 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1096 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1098 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1099 "k__Bacteria" "p__Gemmatimonadota" "c__Gemmatimonadetes"
## bASV_1102 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1103 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1105 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_1107 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1108 "k__Bacteria" "p__Verrucomicrobiota" "c__Verrucomicrobiae"
## bASV_1109 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1110 "k__Bacteria" "p__Bacteroidota" "c__Bacteroidia"
## bASV_1111 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1112 "k__Bacteria" "p__Actinobacteriota" "c__Actinobacteria"
## bASV_1114 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1115 "k__Bacteria" "p__Acidobacteriota" "c__Acidobacteriae"
## bASV_1116 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1117 "k__Bacteria" "p__Bdellovibrionota" "c__Bdellovibrionia"
## bASV_1118 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1119 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1120 "k__Bacteria" "p__Actinobacteriota" "c__Acidimicrobiia"
## bASV_1121 "k__Bacteria" "p__Acidobacteriota" "c__Holophagae"
## bASV_1122 "k__Bacteria" "p__Chloroflexi" "c__Ktedonobacteria"
## bASV_1123 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1124 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1125 "k__Bacteria" "p__Planctomycetota" "c__Phycisphaerae"
## bASV_1126 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1127 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_1128 "k__Bacteria" "p__Proteobacteria" "c__Alphaproteobacteria"
## bASV_1129 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1130 "k__Bacteria" "p__Planctomycetota" "c__Planctomycetes"
## bASV_1131 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1132 "k__Bacteria" "p__Acidobacteriota" "c__Vicinamibacteria"
## bASV_1133 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## bASV_1134 "k__Bacteria" "p__Myxococcota" "c__Polyangia"
## bASV_1136 "k__Bacteria" "p__Acidobacteriota" "c__Blastocatellia"
## bASV_1137 "k__Bacteria" "p__Proteobacteria" "c__Gammaproteobacteria"
## Order
## bASV_5 "o__Burkholderiales"
## bASV_7 "o__Pseudomonadales"
## bASV_9 "o__Chitinophagales"
## bASV_11 "o__Sphingomonadales"
## bASV_12 "o__Streptomycetales"
## bASV_13 "o__Rhizobiales"
## bASV_14 "o__Burkholderiales"
## bASV_15 "o__Burkholderiales"
## bASV_16 "o__Burkholderiales"
## bASV_18 "o__Rhizobiales"
## bASV_19 "o__Caulobacterales"
## bASV_20 "o__Burkholderiales"
## bASV_21 "o__Sphingomonadales"
## bASV_23 "o__Chitinophagales"
## bASV_25 "o__Burkholderiales"
## bASV_27 "o__Burkholderiales"
## bASV_29 "o__Rhizobiales"
## bASV_30 "o__Caulobacterales"
## bASV_31 "o__Rhizobiales"
## bASV_32 "o__Burkholderiales"
## bASV_33 "o__Pseudomonadales"
## bASV_34 "o__Burkholderiales"
## bASV_35 "o__Burkholderiales"
## bASV_36 "o__Chitinophagales"
## bASV_37 "o__Burkholderiales"
## bASV_38 "o__Burkholderiales"
## bASV_39 "o__Chitinophagales"
## bASV_40 "o__Burkholderiales"
## bASV_41 "o__Streptomycetales"
## bASV_43 "o__Micrococcales"
## bASV_44 "o__Xanthomonadales"
## bASV_45 "o__Chitinophagales"
## bASV_46 "o__Burkholderiales"
## bASV_48 "o__Rhizobiales"
## bASV_49 "o__Sphingomonadales"
## bASV_50 "o__Rhizobiales"
## bASV_51 "o__Burkholderiales"
## bASV_52 "o__Streptomycetales"
## bASV_53 "o__Rhizobiales"
## bASV_54 "o__Burkholderiales"
## bASV_55 "o__Streptomycetales"
## bASV_56 "o__Burkholderiales"
## bASV_57 "o__Micrococcales"
## bASV_58 "o__Burkholderiales"
## bASV_59 "o__Burkholderiales"
## bASV_60 "o__Sphingomonadales"
## bASV_61 "o__Rhizobiales"
## bASV_62 "o__Sphingomonadales"
## bASV_63 "o__Rhizobiales"
## bASV_64 "o__Cytophagales"
## bASV_65 "o__Burkholderiales"
## bASV_66 "o__Rhizobiales"
## bASV_67 "o__Rhizobiales"
## bASV_68 "o__Burkholderiales"
## bASV_69 "o__Rhizobiales"
## bASV_70 "o__Chitinophagales"
## bASV_71 "o__Xanthomonadales"
## bASV_72 "o__Burkholderiales"
## bASV_73 "o__Caulobacterales"
## bASV_74 "o__Chitinophagales"
## bASV_75 "o__Burkholderiales"
## bASV_76 "o__Caulobacterales"
## bASV_77 "o__Burkholderiales"
## bASV_78 "o__Sphingomonadales"
## bASV_79 "o__Burkholderiales"
## bASV_80 "o__Xanthomonadales"
## bASV_81 "o__Burkholderiales"
## bASV_82 "o__Streptomycetales"
## bASV_83 "o__Burkholderiales"
## bASV_84 "o__Burkholderiales"
## bASV_85 "o__Burkholderiales"
## bASV_86 "o__Burkholderiales"
## bASV_87 "o__Chitinophagales"
## bASV_88 "o__Rhizobiales"
## bASV_89 "o__Rhizobiales"
## bASV_90 "o__Xanthomonadales"
## bASV_91 "o__Xanthomonadales"
## bASV_92 "o__Burkholderiales"
## bASV_93 "o__Burkholderiales"
## bASV_94 "o__Burkholderiales"
## bASV_95 "o__Burkholderiales"
## bASV_96 "o__Xanthomonadales"
## bASV_97 "o__Burkholderiales"
## bASV_98 "o__Acidobacteriales"
## bASV_99 "o__Xanthomonadales"
## bASV_100 "o__Caulobacterales"
## bASV_101 "o__Pseudomonadales"
## bASV_102 "o__Chitinophagales"
## bASV_103 "o__Caulobacterales"
## bASV_104 "o__Burkholderiales"
## bASV_105 "o__Burkholderiales"
## bASV_106 "o__Xanthomonadales"
## bASV_107 "o__Sphingomonadales"
## bASV_108 "o__Chitinophagales"
## bASV_109 "o__Chitinophagales"
## bASV_110 "o__Sphingomonadales"
## bASV_111 "o__Rhizobiales"
## bASV_112 "o__Burkholderiales"
## bASV_113 "o__Burkholderiales"
## bASV_114 "o__Sphingomonadales"
## bASV_115 "o__Caulobacterales"
## bASV_116 "o__Xanthomonadales"
## bASV_117 "o__Burkholderiales"
## bASV_118 "o__Gemmatimonadales"
## bASV_119 "o__Burkholderiales"
## bASV_120 "o__Gemmatimonadales"
## bASV_121 "o__Pseudonocardiales"
## bASV_122 "o__Xanthomonadales"
## bASV_123 "o__Chitinophagales"
## bASV_124 "o__Propionibacteriales"
## bASV_125 "o__Gemmatimonadales"
## bASV_126 "o__Xanthomonadales"
## bASV_128 "o__Nannocystales"
## bASV_129 "o__Burkholderiales"
## bASV_131 "o__Burkholderiales"
## bASV_132 "o__Xanthomonadales"
## bASV_133 "o__Rhizobiales"
## bASV_134 "o__Burkholderiales"
## bASV_135 "o__Sphingomonadales"
## bASV_136 "o__Burkholderiales"
## bASV_137 "o__Rhizobiales"
## bASV_138 "o__Bryobacterales"
## bASV_139 "o__Burkholderiales"
## bASV_140 "o__Burkholderiales"
## bASV_141 "o__Caulobacterales"
## bASV_142 "o__Xanthomonadales"
## bASV_143 "o__Burkholderiales"
## bASV_144 "o__Rhizobiales"
## bASV_145 "o__Burkholderiales"
## bASV_146 "o__Rhizobiales"
## bASV_147 "o__Sphingomonadales"
## bASV_148 "o__Burkholderiales"
## bASV_149 "o__Sphingomonadales"
## bASV_151 "o__Burkholderiales"
## bASV_152 "o__Sphingomonadales"
## bASV_153 "o__Burkholderiales"
## bASV_154 "o__Flavobacteriales"
## bASV_155 "o__Rhizobiales"
## bASV_156 "o__Burkholderiales"
## bASV_158 "o__Burkholderiales"
## bASV_159 "o__Sphingobacteriales"
## bASV_160 "o__Sphingomonadales"
## bASV_161 "o__Sphingomonadales"
## bASV_162 "o__Caulobacterales"
## bASV_163 "o__Sphingomonadales"
## bASV_164 "o__Xanthomonadales"
## bASV_165 "o__MSB-4B10"
## bASV_166 "o__Burkholderiales"
## bASV_168 "o__Bacillales"
## bASV_169 "o__Chitinophagales"
## bASV_170 "o__Azospirillales"
## bASV_171 "o__Pyrinomonadales"
## bASV_173 "o__Rhizobiales"
## bASV_174 "o__Burkholderiales"
## bASV_175 "o__Burkholderiales"
## bASV_176 "o__Rokubacteriales"
## bASV_177 "o__Fimbriimonadales"
## bASV_178 "o__Caulobacterales"
## bASV_180 "o__Sphingomonadales"
## bASV_181 "o__Propionibacteriales"
## bASV_182 "o__Steroidobacterales"
## bASV_183 "o__Pseudonocardiales"
## bASV_184 "o__Chthoniobacterales"
## bASV_185 "o__Gemmatimonadales"
## bASV_186 "o__Burkholderiales"
## bASV_187 "o__Sphingomonadales"
## bASV_188 "o__Xanthomonadales"
## bASV_189 "o__Rhizobiales"
## bASV_190 "o__Sphingomonadales"
## bASV_191 "o__Rhizobiales"
## bASV_192 "o__Burkholderiales"
## bASV_193 "o__Sphingomonadales"
## bASV_194 "o__Sphingomonadales"
## bASV_195 "o__Burkholderiales"
## bASV_196 "o__Xanthomonadales"
## bASV_197 "o__Verrucomicrobiales"
## bASV_198 "o__Tepidisphaerales"
## bASV_199 "o__Burkholderiales"
## bASV_200 "o__Gemmatimonadales"
## bASV_201 "o__Rhizobiales"
## bASV_202 "o__Xanthomonadales"
## bASV_203 "o__Cytophagales"
## bASV_204 "o__Saccharimonadales"
## bASV_205 "o__Xanthomonadales"
## bASV_206 "o__Sphingomonadales"
## bASV_207 "o__Rhizobiales"
## bASV_209 "o__Chthoniobacterales"
## bASV_211 "o__Caulobacterales"
## bASV_212 "o__Burkholderiales"
## bASV_213 "o__Burkholderiales"
## bASV_214 "o__Gemmatimonadales"
## bASV_215 "o__Micrococcales"
## bASV_216 "o__Sphingobacteriales"
## bASV_217 "o__Xanthomonadales"
## bASV_218 "o__Burkholderiales"
## bASV_219 "o__Rhizobiales"
## bASV_220 "o__Burkholderiales"
## bASV_221 "o__Sphingobacteriales"
## bASV_222 "o__Micrococcales"
## bASV_223 NA
## bASV_224 "o__Burkholderiales"
## bASV_225 "o__Cytophagales"
## bASV_226 "o__Rhizobiales"
## bASV_227 "o__Subgroup_7"
## bASV_228 "o__Xanthomonadales"
## bASV_229 "o__Gemmatimonadales"
## bASV_230 "o__Burkholderiales"
## bASV_231 "o__Sphingomonadales"
## bASV_232 "o__Burkholderiales"
## bASV_233 "o__Chitinophagales"
## bASV_234 "o__Blastocatellales"
## bASV_235 "o__Xanthomonadales"
## bASV_237 "o__Burkholderiales"
## bASV_238 "o__Sphingomonadales"
## bASV_240 "o__Tepidisphaerales"
## bASV_241 "o__Pseudonocardiales"
## bASV_242 "o__Chitinophagales"
## bASV_243 "o__Burkholderiales"
## bASV_244 "o__Gemmatimonadales"
## bASV_245 "o__Streptomycetales"
## bASV_246 "o__Streptomycetales"
## bASV_247 "o__Chitinophagales"
## bASV_249 "o__Micromonosporales"
## bASV_250 "o__Burkholderiales"
## bASV_251 "o__Sphingomonadales"
## bASV_252 "o__Sphingomonadales"
## bASV_253 "o__Burkholderiales"
## bASV_254 "o__Blastocatellales"
## bASV_255 "o__Burkholderiales"
## bASV_256 "o__Sphingomonadales"
## bASV_257 "o__Rhizobiales"
## bASV_258 "o__Burkholderiales"
## bASV_259 "o__Chloroflexales"
## bASV_260 "o__Burkholderiales"
## bASV_261 "o__Acidobacteriales"
## bASV_262 "o__Sphingomonadales"
## bASV_263 "o__Cytophagales"
## bASV_264 "o__Burkholderiales"
## bASV_265 "o__Gemmatimonadales"
## bASV_266 "o__Burkholderiales"
## bASV_268 "o__Chitinophagales"
## bASV_269 "o__Burkholderiales"
## bASV_270 "o__Steroidobacterales"
## bASV_271 "o__Reyranellales"
## bASV_272 "o__Gemmatimonadales"
## bASV_273 "o__Burkholderiales"
## bASV_274 "o__Burkholderiales"
## bASV_275 "o__Gitt-GS-136"
## bASV_276 "o__Burkholderiales"
## bASV_277 "o__Burkholderiales"
## bASV_278 "o__Burkholderiales"
## bASV_279 "o__Gemmatimonadales"
## bASV_280 "o__Chitinophagales"
## bASV_281 "o__Rhizobiales"
## bASV_282 "o__Caulobacterales"
## bASV_283 "o__Caulobacterales"
## bASV_285 "o__Burkholderiales"
## bASV_286 "o__Rhizobiales"
## bASV_288 "o__Xanthomonadales"
## bASV_289 "o__Burkholderiales"
## bASV_290 "o__Burkholderiales"
## bASV_291 "o__Pseudonocardiales"
## bASV_292 "o__Bacillales"
## bASV_293 "o__Burkholderiales"
## bASV_294 "o__Blastocatellales"
## bASV_295 "o__Burkholderiales"
## bASV_297 "o__Caulobacterales"
## bASV_298 "o__Rhizobiales"
## bASV_299 "o__Blastocatellales"
## bASV_300 "o__Burkholderiales"
## bASV_302 "o__Burkholderiales"
## bASV_303 "o__Saccharimonadales"
## bASV_304 "o__Nitrospirales"
## bASV_305 "o__Xanthomonadales"
## bASV_306 "o__Burkholderiales"
## bASV_307 "o__Burkholderiales"
## bASV_308 "o__Burkholderiales"
## bASV_309 "o__Burkholderiales"
## bASV_310 "o__Caulobacterales"
## bASV_312 "o__Burkholderiales"
## bASV_313 "o__Verrucomicrobiales"
## bASV_314 "o__Burkholderiales"
## bASV_315 "o__Rhizobiales"
## bASV_316 "o__Gemmatimonadales"
## bASV_317 "o__Sphingomonadales"
## bASV_318 "o__Sphingomonadales"
## bASV_319 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_321 "o__Sphingomonadales"
## bASV_322 "o__Xanthomonadales"
## bASV_323 "o__Sphingobacteriales"
## bASV_324 "o__Cytophagales"
## bASV_325 "o__Burkholderiales"
## bASV_326 "o__Blastocatellales"
## bASV_327 "o__Xanthomonadales"
## bASV_328 "o__Burkholderiales"
## bASV_330 "o__Chitinophagales"
## bASV_331 "o__Xanthomonadales"
## bASV_332 "o__Gemmatimonadales"
## bASV_333 "o__Cytophagales"
## bASV_334 "o__Sphingobacteriales"
## bASV_335 "o__Propionibacteriales"
## bASV_336 "o__Burkholderiales"
## bASV_337 "o__Burkholderiales"
## bASV_339 "o__Rhizobiales"
## bASV_340 "o__Sphingomonadales"
## bASV_341 "o__Burkholderiales"
## bASV_342 "o__Burkholderiales"
## bASV_343 "o__Burkholderiales"
## bASV_345 "o__Chitinophagales"
## bASV_346 "o__Burkholderiales"
## bASV_347 "o__Cellvibrionales"
## bASV_348 "o__Sphingomonadales"
## bASV_349 "o__Burkholderiales"
## bASV_350 "o__Sphingomonadales"
## bASV_351 "o__Rhizobiales"
## bASV_352 "o__Sphingomonadales"
## bASV_353 "o__Caulobacterales"
## bASV_354 "o__Chitinophagales"
## bASV_355 "o__Sphingomonadales"
## bASV_356 "o__Burkholderiales"
## bASV_357 "o__Burkholderiales"
## bASV_358 "o__Sphingobacteriales"
## bASV_359 "o__Caulobacterales"
## bASV_361 "o__Sphingomonadales"
## bASV_362 "o__Burkholderiales"
## bASV_363 "o__Cytophagales"
## bASV_364 "o__Rhizobiales"
## bASV_365 "o__Chitinophagales"
## bASV_366 "o__Burkholderiales"
## bASV_367 "o__Gemmatimonadales"
## bASV_368 "o__Rhizobiales"
## bASV_369 "o__Burkholderiales"
## bASV_370 "o__Saccharimonadales"
## bASV_371 "o__Xanthomonadales"
## bASV_372 "o__Burkholderiales"
## bASV_374 "o__Gemmatimonadales"
## bASV_375 "o__Burkholderiales"
## bASV_376 "o__Burkholderiales"
## bASV_377 "o__Gitt-GS-136"
## bASV_378 "o__Gemmatimonadales"
## bASV_379 "o__Burkholderiales"
## bASV_380 "o__Myxococcales"
## bASV_381 "o__Xanthomonadales"
## bASV_382 "o__Burkholderiales"
## bASV_383 "o__Gemmatimonadales"
## bASV_384 "o__Burkholderiales"
## bASV_385 "o__Propionibacteriales"
## bASV_386 "o__Sphingomonadales"
## bASV_387 "o__Chitinophagales"
## bASV_388 "o__Rhizobiales"
## bASV_389 "o__Burkholderiales"
## bASV_390 "o__Burkholderiales"
## bASV_391 "o__Bryobacterales"
## bASV_392 "o__Reyranellales"
## bASV_395 "o__Gemmatimonadales"
## bASV_396 "o__Burkholderiales"
## bASV_397 "o__Gemmatimonadales"
## bASV_399 "o__Burkholderiales"
## bASV_400 "o__Burkholderiales"
## bASV_401 "o__Rhizobiales"
## bASV_402 "o__Rhizobiales"
## bASV_403 "o__Burkholderiales"
## bASV_404 "o__Burkholderiales"
## bASV_406 "o__Xanthomonadales"
## bASV_407 "o__Fimbriimonadales"
## bASV_408 "o__Blastocatellales"
## bASV_409 "o__Propionibacteriales"
## bASV_410 "o__Burkholderiales"
## bASV_411 "o__Xanthomonadales"
## bASV_412 "o__Burkholderiales"
## bASV_413 "o__Xanthomonadales"
## bASV_414 "o__Pseudomonadales"
## bASV_416 "o__Burkholderiales"
## bASV_417 "o__Rhizobiales"
## bASV_418 "o__Rhizobiales"
## bASV_419 "o__Burkholderiales"
## bASV_420 "o__Gaiellales"
## bASV_421 "o__Longimicrobiales"
## bASV_422 "o__Sphingomonadales"
## bASV_423 "o__Burkholderiales"
## bASV_424 "o__Xanthomonadales"
## bASV_425 "o__Microtrichales"
## bASV_426 "o__Sphingomonadales"
## bASV_427 "o__Vicinamibacterales"
## bASV_428 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_429 "o__Chitinophagales"
## bASV_430 "o__Caulobacterales"
## bASV_431 "o__Cytophagales"
## bASV_432 "o__Longimicrobiales"
## bASV_433 "o__Steroidobacterales"
## bASV_434 "o__Propionibacteriales"
## bASV_435 "o__Acidobacteriales"
## bASV_436 "o__Cytophagales"
## bASV_438 "o__Rhizobiales"
## bASV_439 "o__Micropepsales"
## bASV_440 "o__Burkholderiales"
## bASV_441 "o__Burkholderiales"
## bASV_442 "o__Chloroflexales"
## bASV_443 "o__Cytophagales"
## bASV_446 "o__Sphingomonadales"
## bASV_447 "o__Blastocatellales"
## bASV_448 "o__Chitinophagales"
## bASV_449 "o__Rhizobiales"
## bASV_450 "o__Rhizobiales"
## bASV_451 "o__Dongiales"
## bASV_453 "o__Burkholderiales"
## bASV_454 "o__Frankiales"
## bASV_455 "o__Sphingobacteriales"
## bASV_456 "o__Propionibacteriales"
## bASV_457 "o__Burkholderiales"
## bASV_458 "o__Propionibacteriales"
## bASV_459 "o__Sphingobacteriales"
## bASV_460 "o__Propionibacteriales"
## bASV_461 "o__Sphingomonadales"
## bASV_462 "o__Sphingomonadales"
## bASV_464 "o__Gemmatimonadales"
## bASV_465 "o__Tepidisphaerales"
## bASV_466 "o__Pseudonocardiales"
## bASV_467 "o__Vicinamibacterales"
## bASV_468 "o__Gemmatimonadales"
## bASV_469 "o__Burkholderiales"
## bASV_471 "o__Burkholderiales"
## bASV_472 "o__Chitinophagales"
## bASV_474 "o__Burkholderiales"
## bASV_476 "o__Burkholderiales"
## bASV_477 "o__Burkholderiales"
## bASV_478 "o__Burkholderiales"
## bASV_479 "o__Xanthomonadales"
## bASV_480 "o__Streptosporangiales"
## bASV_481 "o__Polyangiales"
## bASV_482 "o__Burkholderiales"
## bASV_483 "o__Micrococcales"
## bASV_484 "o__Burkholderiales"
## bASV_485 "o__Burkholderiales"
## bASV_486 "o__Chitinophagales"
## bASV_487 "o__Burkholderiales"
## bASV_488 "o__Xanthomonadales"
## bASV_489 "o__Corynebacteriales"
## bASV_490 "o__Xanthomonadales"
## bASV_491 "o__Bacillales"
## bASV_492 "o__uncultured"
## bASV_493 "o__Flavobacteriales"
## bASV_494 "o__Chitinophagales"
## bASV_495 "o__Burkholderiales"
## bASV_496 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_498 "o__Pyrinomonadales"
## bASV_499 "o__Sphingomonadales"
## bASV_500 "o__Gaiellales"
## bASV_501 "o__Solibacterales"
## bASV_503 "o__Blastocatellales"
## bASV_504 "o__Xanthomonadales"
## bASV_505 "o__Propionibacteriales"
## bASV_506 "o__Sphingomonadales"
## bASV_507 "o__Burkholderiales"
## bASV_508 "o__Dongiales"
## bASV_509 "o__Dongiales"
## bASV_510 "o__Sphingomonadales"
## bASV_511 "o__Burkholderiales"
## bASV_512 "o__Cellvibrionales"
## bASV_513 "o__Blastocatellales"
## bASV_514 "o__Burkholderiales"
## bASV_515 "o__Caulobacterales"
## bASV_516 "o__Reyranellales"
## bASV_517 "o__Flavobacteriales"
## bASV_518 "o__Burkholderiales"
## bASV_519 "o__Bryobacterales"
## bASV_520 "o__Gemmatimonadales"
## bASV_521 "o__Burkholderiales"
## bASV_522 "o__Chitinophagales"
## bASV_524 "o__Sphingomonadales"
## bASV_525 "o__Burkholderiales"
## bASV_526 "o__Rhizobiales"
## bASV_527 "o__IMCC26256"
## bASV_528 "o__Burkholderiales"
## bASV_529 "o__Burkholderiales"
## bASV_530 "o__IMCC26256"
## bASV_531 "o__Gemmatimonadales"
## bASV_533 "o__Flavobacteriales"
## bASV_534 "o__Blastocatellales"
## bASV_535 "o__Flavobacteriales"
## bASV_536 "o__Propionibacteriales"
## bASV_537 "o__Burkholderiales"
## bASV_539 "o__Burkholderiales"
## bASV_540 "o__Burkholderiales"
## bASV_541 "o__Sphingomonadales"
## bASV_542 "o__Glycomycetales"
## bASV_546 "o__Acidobacteriales"
## bASV_547 "o__Sphingobacteriales"
## bASV_548 "o__Xanthomonadales"
## bASV_549 "o__Gemmatimonadales"
## bASV_550 "o__Burkholderiales"
## bASV_551 "o__Pyrinomonadales"
## bASV_552 "o__Xanthomonadales"
## bASV_553 "o__Sphingobacteriales"
## bASV_554 "o__Streptosporangiales"
## bASV_556 "o__Propionibacteriales"
## bASV_557 "o__Xanthomonadales"
## bASV_558 "o__Chitinophagales"
## bASV_561 "o__Xanthomonadales"
## bASV_562 "o__Caulobacterales"
## bASV_563 "o__Burkholderiales"
## bASV_564 "o__Chitinophagales"
## bASV_565 "o__Sphingomonadales"
## bASV_567 "o__Caulobacterales"
## bASV_569 "o__Flavobacteriales"
## bASV_570 "o__Chitinophagales"
## bASV_571 "o__IMCC26256"
## bASV_572 "o__Sphingomonadales"
## bASV_573 "o__Rhizobiales"
## bASV_574 "o__Vicinamibacterales"
## bASV_575 "o__Tepidisphaerales"
## bASV_576 "o__Acidobacteriales"
## bASV_577 "o__Gemmatimonadales"
## bASV_578 "o__Solibacterales"
## bASV_579 "o__KD4-96"
## bASV_580 "o__Burkholderiales"
## bASV_581 "o__Rhizobiales"
## bASV_582 "o__Rokubacteriales"
## bASV_583 "o__Solibacterales"
## bASV_584 "o__Caulobacterales"
## bASV_585 "o__Vicinamibacterales"
## bASV_586 "o__Tepidisphaerales"
## bASV_587 "o__Burkholderiales"
## bASV_590 "o__Burkholderiales"
## bASV_591 "o__Micropepsales"
## bASV_592 "o__Burkholderiales"
## bASV_593 "o__Pseudonocardiales"
## bASV_595 "o__Gemmatimonadales"
## bASV_596 "o__Xanthomonadales"
## bASV_597 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_598 "o__Micrococcales"
## bASV_599 "o__Rhizobiales"
## bASV_600 "o__Sphingobacteriales"
## bASV_601 "o__Tepidisphaerales"
## bASV_602 "o__Rhizobiales"
## bASV_603 "o__Burkholderiales"
## bASV_604 "o__Tepidisphaerales"
## bASV_605 "o__Xanthomonadales"
## bASV_606 "o__Burkholderiales"
## bASV_607 "o__Gemmatimonadales"
## bASV_609 "o__Subgroup_7"
## bASV_611 "o__Sphingomonadales"
## bASV_612 "o__Vicinamibacterales"
## bASV_613 "o__Gemmatimonadales"
## bASV_614 "o__Propionibacteriales"
## bASV_615 "o__Burkholderiales"
## bASV_616 "o__Gaiellales"
## bASV_617 "o__Rhizobiales"
## bASV_619 "o__Burkholderiales"
## bASV_621 "o__Rhizobiales"
## bASV_622 "o__Subgroup_7"
## bASV_623 "o__Burkholderiales"
## bASV_624 "o__Sphingomonadales"
## bASV_625 "o__Burkholderiales"
## bASV_626 "o__Burkholderiales"
## bASV_627 "o__Burkholderiales"
## bASV_628 "o__Chitinophagales"
## bASV_629 "o__Vicinamibacterales"
## bASV_632 "o__Micropepsales"
## bASV_635 "o__Sphingomonadales"
## bASV_636 "o__Xanthomonadales"
## bASV_637 "o__Gemmatimonadales"
## bASV_638 "o__Haliangiales"
## bASV_639 "o__Sphingomonadales"
## bASV_640 "o__Burkholderiales"
## bASV_641 "o__Rhizobiales"
## bASV_642 "o__Micrococcales"
## bASV_643 "o__Pyrinomonadales"
## bASV_645 "o__Caulobacterales"
## bASV_646 "o__Burkholderiales"
## bASV_647 "o__Sphingomonadales"
## bASV_648 "o__Pyrinomonadales"
## bASV_649 "o__Chthoniobacterales"
## bASV_650 "o__Burkholderiales"
## bASV_651 "o__Sphingobacteriales"
## bASV_652 "o__Xanthomonadales"
## bASV_653 "o__Gemmatimonadales"
## bASV_654 "o__Dongiales"
## bASV_655 "o__Flavobacteriales"
## bASV_657 "o__Burkholderiales"
## bASV_658 "o__Micrococcales"
## bASV_659 "o__Solirubrobacterales"
## bASV_660 "o__Vicinamibacterales"
## bASV_661 "o__IMCC26256"
## bASV_662 "o__Burkholderiales"
## bASV_663 "o__Burkholderiales"
## bASV_664 "o__Rhizobiales"
## bASV_665 "o__Caulobacterales"
## bASV_666 "o__Gemmatimonadales"
## bASV_667 "o__MB-A2-108"
## bASV_668 "o__PLTA13"
## bASV_669 "o__Burkholderiales"
## bASV_670 "o__Subgroup_17"
## bASV_672 "o__Burkholderiales"
## bASV_674 "o__Tepidisphaerales"
## bASV_675 "o__Vicinamibacterales"
## bASV_676 "o__Blastocatellales"
## bASV_677 "o__Burkholderiales"
## bASV_678 "o__Sphingomonadales"
## bASV_682 "o__Caulobacterales"
## bASV_683 "o__Glycomycetales"
## bASV_684 "o__Paenibacillales"
## bASV_687 "o__uncultured"
## bASV_688 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_691 "o__Subgroup_2"
## bASV_692 "o__AD3"
## bASV_693 "o__Frankiales"
## bASV_694 "o__Burkholderiales"
## bASV_695 "o__Propionibacteriales"
## bASV_696 "o__Steroidobacterales"
## bASV_698 "o__Rhizobiales"
## bASV_699 "o__KD4-96"
## bASV_700 "o__Gemmatimonadales"
## bASV_701 "o__Burkholderiales"
## bASV_702 "o__Frankiales"
## bASV_703 "o__Burkholderiales"
## bASV_704 "o__Gemmatimonadales"
## bASV_705 "o__Propionibacteriales"
## bASV_706 "o__Chitinophagales"
## bASV_707 "o__Vicinamibacterales"
## bASV_708 "o__Sphingobacteriales"
## bASV_709 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_711 "o__Propionibacteriales"
## bASV_712 "o__Burkholderiales"
## bASV_713 "o__Planctomycetales"
## bASV_714 "o__Chloroflexales"
## bASV_715 "o__Pseudonocardiales"
## bASV_716 "o__Burkholderiales"
## bASV_717 "o__Chitinophagales"
## bASV_719 "o__Paenibacillales"
## bASV_720 "o__Gemmatimonadales"
## bASV_721 "o__Chitinophagales"
## bASV_722 "o__Burkholderiales"
## bASV_724 "o__Flavobacteriales"
## bASV_725 "o__Chthoniobacterales"
## bASV_726 "o__IMCC26256"
## bASV_728 "o__Sphingomonadales"
## bASV_729 "o__Xanthomonadales"
## bASV_730 "o__Burkholderiales"
## bASV_731 "o__Burkholderiales"
## bASV_732 "o__Chthoniobacterales"
## bASV_733 "o__Chthoniobacterales"
## bASV_735 "o__Fimbriimonadales"
## bASV_736 "o__Nitrospirales"
## bASV_737 "o__Acidobacteriales"
## bASV_738 "o__Rhizobiales"
## bASV_739 "o__Paenibacillales"
## bASV_740 "o__Gemmatimonadales"
## bASV_741 "o__Microtrichales"
## bASV_743 "o__Chitinophagales"
## bASV_744 "o__Burkholderiales"
## bASV_745 "o__Burkholderiales"
## bASV_746 "o__Rhizobiales"
## bASV_747 "o__Gemmatimonadales"
## bASV_749 "o__Rhizobiales"
## bASV_752 "o__Sphingomonadales"
## bASV_753 "o__Vicinamibacterales"
## bASV_754 "o__Burkholderiales"
## bASV_755 "o__Burkholderiales"
## bASV_756 "o__Burkholderiales"
## bASV_757 "o__Caulobacterales"
## bASV_758 "o__Polyangiales"
## bASV_759 "o__Rhizobiales"
## bASV_760 "o__Sphingomonadales"
## bASV_761 "o__Vicinamibacterales"
## bASV_762 "o__Subgroup_7"
## bASV_763 "o__Tepidisphaerales"
## bASV_764 "o__Gemmatimonadales"
## bASV_766 "o__Sphingomonadales"
## bASV_767 "o__Opitutales"
## bASV_769 "o__Subgroup_7"
## bASV_770 "o__Polyangiales"
## bASV_771 "o__Micrococcales"
## bASV_772 "o__Burkholderiales"
## bASV_773 "o__Rhizobiales"
## bASV_776 "o__mle1-27"
## bASV_777 "o__Nitrospirales"
## bASV_780 "o__Burkholderiales"
## bASV_782 "o__Propionibacteriales"
## bASV_784 "o__Xanthomonadales"
## bASV_785 "o__Burkholderiales"
## bASV_786 "o__Burkholderiales"
## bASV_787 "o__Chitinophagales"
## bASV_788 "o__Pseudonocardiales"
## bASV_789 "o__Burkholderiales"
## bASV_791 "o__Pedosphaerales"
## bASV_792 "o__Burkholderiales"
## bASV_793 "o__Chitinophagales"
## bASV_794 "o__Burkholderiales"
## bASV_795 "o__Gemmatimonadales"
## bASV_797 "o__Streptomycetales"
## bASV_798 "o__Sphingomonadales"
## bASV_799 "o__C0119"
## bASV_800 "o__Gemmatimonadales"
## bASV_801 "o__Burkholderiales"
## bASV_803 "o__Chitinophagales"
## bASV_804 "o__Burkholderiales"
## bASV_805 "o__Burkholderiales"
## bASV_806 "o__Chitinophagales"
## bASV_807 "o__Pyrinomonadales"
## bASV_808 "o__KD4-96"
## bASV_809 "o__Bacillales"
## bASV_810 "o__Polyangiales"
## bASV_812 "o__Chitinophagales"
## bASV_813 "o__Sphingomonadales"
## bASV_814 "o__Rhizobiales"
## bASV_816 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_817 "o__Burkholderiales"
## bASV_819 "o__Propionibacteriales"
## bASV_820 "o__Burkholderiales"
## bASV_821 "o__Gemmatimonadales"
## bASV_822 "o__Acidobacteriales"
## bASV_823 "o__Gemmatimonadales"
## bASV_824 "o__Propionibacteriales"
## bASV_825 "o__Burkholderiales"
## bASV_826 "o__Burkholderiales"
## bASV_827 "o__Xanthomonadales"
## bASV_828 "o__Burkholderiales"
## bASV_829 "o__Micropepsales"
## bASV_830 "o__Subgroup_17"
## bASV_831 "o__Burkholderiales"
## bASV_832 "o__Xanthomonadales"
## bASV_833 "o__Chthoniobacterales"
## bASV_835 "o__Sphingomonadales"
## bASV_836 "o__Burkholderiales"
## bASV_837 "o__Pyrinomonadales"
## bASV_838 "o__Xanthomonadales"
## bASV_840 "o__Microtrichales"
## bASV_841 "o__Burkholderiales"
## bASV_842 "o__Cytophagales"
## bASV_843 "o__Burkholderiales"
## bASV_844 "o__Burkholderiales"
## bASV_845 "o__Burkholderiales"
## bASV_846 NA
## bASV_847 "o__Burkholderiales"
## bASV_848 "o__Cytophagales"
## bASV_849 "o__Vicinamibacterales"
## bASV_851 "o__Flavobacteriales"
## bASV_854 "o__Burkholderiales"
## bASV_855 "o__Rhizobiales"
## bASV_856 "o__Vicinamibacterales"
## bASV_857 "o__Burkholderiales"
## bASV_858 "o__Chitinophagales"
## bASV_859 "o__Caulobacterales"
## bASV_860 "o__Burkholderiales"
## bASV_861 "o__Blastocatellales"
## bASV_865 "o__Gemmatimonadales"
## bASV_866 "o__Bacillales"
## bASV_867 "o__Tepidisphaerales"
## bASV_868 "o__Burkholderiales"
## bASV_869 "o__Pyrinomonadales"
## bASV_870 "o__Burkholderiales"
## bASV_871 "o__Paenibacillales"
## bASV_874 "o__Opitutales"
## bASV_875 "o__Xanthomonadales"
## bASV_876 "o__Burkholderiales"
## bASV_877 "o__Vicinamibacterales"
## bASV_878 "o__Burkholderiales"
## bASV_879 "o__Burkholderiales"
## bASV_880 "o__Burkholderiales"
## bASV_882 "o__Burkholderiales"
## bASV_883 "o__Burkholderiales"
## bASV_885 "o__Rhizobiales"
## bASV_886 "o__Deinococcales"
## bASV_887 "o__Gemmatimonadales"
## bASV_888 "o__Burkholderiales"
## bASV_890 "o__uncultured"
## bASV_891 "o__Myxococcales"
## bASV_892 "o__Chitinophagales"
## bASV_893 "o__Burkholderiales"
## bASV_895 "o__Gemmatimonadales"
## bASV_896 "o__11-24"
## bASV_897 "o__Gaiellales"
## bASV_898 "o__Acidobacteriales"
## bASV_901 "o__Chitinophagales"
## bASV_902 "o__uncultured"
## bASV_903 "o__Gemmatales"
## bASV_904 "o__Flavobacteriales"
## bASV_905 "o__Pseudonocardiales"
## bASV_906 "o__Gemmatimonadales"
## bASV_907 "o__Pseudomonadales"
## bASV_908 "o__Caulobacterales"
## bASV_909 "o__Burkholderiales"
## bASV_910 "o__Micropepsales"
## bASV_911 "o__Burkholderiales"
## bASV_912 "o__Rhizobiales"
## bASV_914 "o__Burkholderiales"
## bASV_915 "o__Burkholderiales"
## bASV_916 "o__Saccharimonadales"
## bASV_917 "o__Vicinamibacterales"
## bASV_918 "o__Flavobacteriales"
## bASV_920 "o__Gemmatimonadales"
## bASV_921 "o__Burkholderiales"
## bASV_922 "o__Rhizobiales"
## bASV_923 "o__Micromonosporales"
## bASV_924 "o__Tepidisphaerales"
## bASV_925 "o__Burkholderiales"
## bASV_926 "o__Rhizobiales"
## bASV_928 "o__Steroidobacterales"
## bASV_930 "o__Xanthomonadales"
## bASV_931 "o__Solibacterales"
## bASV_933 "o__Sphingomonadales"
## bASV_934 "o__Rhizobiales"
## bASV_935 "o__Chthoniobacterales"
## bASV_936 "o__Tepidisphaerales"
## bASV_937 "o__Flavobacteriales"
## bASV_939 "o__Rhizobiales"
## bASV_940 "o__Rhizobiales"
## bASV_941 "o__Burkholderiales"
## bASV_945 "o__Sphingomonadales"
## bASV_946 "o__Burkholderiales"
## bASV_947 "o__Burkholderiales"
## bASV_948 "o__Burkholderiales"
## bASV_949 "o__Burkholderiales"
## bASV_950 "o__Bryobacterales"
## bASV_951 "o__Rhizobiales"
## bASV_952 "o__Cytophagales"
## bASV_953 "o__Saccharimonadales"
## bASV_954 "o__Burkholderiales"
## bASV_955 "o__Rhizobiales"
## bASV_956 "o__Cytophagales"
## bASV_958 "o__Microtrichales"
## bASV_959 "o__IMCC26256"
## bASV_960 "o__Burkholderiales"
## bASV_961 "o__Solibacterales"
## bASV_963 "o__Gemmatimonadales"
## bASV_964 "o__Polyangiales"
## bASV_966 "o__C0119"
## bASV_969 "o__Elsterales"
## bASV_972 "o__Caulobacterales"
## bASV_973 "o__Tepidisphaerales"
## bASV_974 "o__Micropepsales"
## bASV_975 "o__Chitinophagales"
## bASV_976 "o__Burkholderiales"
## bASV_977 "o__Subgroup_7"
## bASV_979 "o__Pedosphaerales"
## bASV_980 "o__Burkholderiales"
## bASV_981 "o__Vicinamibacterales"
## bASV_982 "o__Xanthomonadales"
## bASV_983 "o__Pyrinomonadales"
## bASV_984 "o__Rhizobiales"
## bASV_986 "o__Xanthomonadales"
## bASV_988 "o__Solibacterales"
## bASV_989 "o__Burkholderiales"
## bASV_990 "o__Rhizobiales"
## bASV_991 "o__Gemmatimonadales"
## bASV_992 "o__Vicinamibacterales"
## bASV_994 "o__Chitinophagales"
## bASV_995 "o__Frankiales"
## bASV_996 "o__Xanthomonadales"
## bASV_998 "o__Rhizobiales"
## bASV_999 "o__Burkholderiales"
## bASV_1001 "o__Rhizobiales"
## bASV_1003 "o__Gemmatimonadales"
## bASV_1005 "o__Gemmatimonadales"
## bASV_1006 "o__Rokubacteriales"
## bASV_1007 "o__Blastocatellales"
## bASV_1008 "o__Rhizobiales"
## bASV_1010 "o__Gemmatimonadales"
## bASV_1011 "o__Pseudonocardiales"
## bASV_1012 "o__Microtrichales"
## bASV_1013 "o__Chitinophagales"
## bASV_1014 "o__Xanthomonadales"
## bASV_1015 "o__Bacillales"
## bASV_1016 "o__Gemmatimonadales"
## bASV_1017 "o__Chitinophagales"
## bASV_1018 "o__Gemmatimonadales"
## bASV_1019 "o__Verrucomicrobiales"
## bASV_1020 "o__Tepidisphaerales"
## bASV_1021 "o__Burkholderiales"
## bASV_1022 "o__Vicinamibacterales"
## bASV_1027 "o__Xanthomonadales"
## bASV_1028 "o__Tepidisphaerales"
## bASV_1029 "o__Burkholderiales"
## bASV_1030 "o__Xanthomonadales"
## bASV_1031 "o__Frankiales"
## bASV_1032 "o__Burkholderiales"
## bASV_1033 "o__Micropepsales"
## bASV_1034 "o__Saccharimonadales"
## bASV_1035 "o__Sphingobacteriales"
## bASV_1037 "o__Chitinophagales"
## bASV_1038 "o__Paenibacillales"
## bASV_1039 "o__Verrucomicrobiales"
## bASV_1041 "o__Vicinamibacterales"
## bASV_1042 "o__Burkholderiales"
## bASV_1045 NA
## bASV_1046 "o__Xanthomonadales"
## bASV_1047 "o__Burkholderiales"
## bASV_1048 "o__Burkholderiales"
## bASV_1049 "o__Tepidisphaerales"
## bASV_1052 "o__Ktedonobacterales"
## bASV_1054 "o__Flavobacteriales"
## bASV_1055 "o__Blfdi19"
## bASV_1056 "o__Propionibacteriales"
## bASV_1057 "o__Chitinophagales"
## bASV_1058 "o__Rhizobiales"
## bASV_1059 "o__Solibacterales"
## bASV_1060 "o__Saccharimonadales"
## bASV_1061 "o__Rhizobiales"
## bASV_1062 NA
## bASV_1064 "o__Burkholderiales"
## bASV_1066 "o__Micropepsales"
## bASV_1067 "o__Dongiales"
## bASV_1068 "o__Glycomycetales"
## bASV_1070 "o__Burkholderiales"
## bASV_1071 "o__Caulobacterales"
## bASV_1072 "o__Burkholderiales"
## bASV_1073 "o__Burkholderiales"
## bASV_1074 "o__Propionibacteriales"
## bASV_1075 "o__Solibacterales"
## bASV_1077 "o__Burkholderiales"
## bASV_1078 "o__uncultured"
## bASV_1079 "o__Polyangiales"
## bASV_1080 "o__Pseudomonadales"
## bASV_1081 "o__Subgroup_7"
## bASV_1082 "o__Vicinamibacterales"
## bASV_1083 "o__Haliangiales"
## bASV_1084 "o__Xanthomonadales"
## bASV_1085 "o__Vampirovibrionales"
## bASV_1086 "o__Steroidobacterales"
## bASV_1087 "o__Gemmatimonadales"
## bASV_1088 "o__Micrococcales"
## bASV_1089 "o__Chloroflexales"
## bASV_1090 "o__Burkholderiales"
## bASV_1091 "o__Gemmatimonadales"
## bASV_1092 "o__Nitrospirales"
## bASV_1094 "o__Verrucomicrobiales"
## bASV_1095 "o__Acetobacterales"
## bASV_1096 "o__Xanthomonadales"
## bASV_1098 "o__Chitinophagales"
## bASV_1099 "o__Gemmatimonadales"
## bASV_1102 "o__Burkholderiales"
## bASV_1103 "o__Burkholderiales"
## bASV_1105 "o__Tepidisphaerales"
## bASV_1107 "o__Cytophagales"
## bASV_1108 "o__Opitutales"
## bASV_1109 "o__Burkholderiales"
## bASV_1110 "o__Sphingobacteriales"
## bASV_1111 "o__Burkholderiales"
## bASV_1112 "o__Pseudonocardiales"
## bASV_1114 "o__Rhizobiales"
## bASV_1115 "o__Bryobacterales"
## bASV_1116 "o__Sphingomonadales"
## bASV_1117 "o__Bdellovibrionales"
## bASV_1118 "o__Caulobacterales"
## bASV_1119 "o__Sphingomonadales"
## bASV_1120 NA
## bASV_1121 "o__Subgroup_7"
## bASV_1122 "o__C0119"
## bASV_1123 "o__Rhizobiales"
## bASV_1124 "o__Rhizobiales"
## bASV_1125 "o__Tepidisphaerales"
## bASV_1126 "o__Burkholderiales"
## bASV_1127 "o__Vicinamibacterales"
## bASV_1128 "o__Rhizobiales"
## bASV_1129 "o__Burkholderiales"
## bASV_1130 "o__Planctomycetales"
## bASV_1131 "o__Gammaproteobacteria_Incertae_Sedis"
## bASV_1132 "o__Vicinamibacterales"
## bASV_1133 "o__Burkholderiales"
## bASV_1134 "o__Polyangiales"
## bASV_1136 "o__Blastocatellales"
## bASV_1137 "o__Burkholderiales"
## Family
## bASV_5 "f__Comamonadaceae"
## bASV_7 "f__Pseudomonadaceae"
## bASV_9 "f__Chitinophagaceae"
## bASV_11 "f__Sphingomonadaceae"
## bASV_12 "f__Streptomycetaceae"
## bASV_13 "f__Rhizobiaceae"
## bASV_14 "f__Comamonadaceae"
## bASV_15 "f__Oxalobacteraceae"
## bASV_16 "f__Oxalobacteraceae"
## bASV_18 "f__Xanthobacteraceae"
## bASV_19 "f__Caulobacteraceae"
## bASV_20 "f__Comamonadaceae"
## bASV_21 "f__Sphingomonadaceae"
## bASV_23 "f__Chitinophagaceae"
## bASV_25 "f__Oxalobacteraceae"
## bASV_27 "f__Comamonadaceae"
## bASV_29 "f__Devosiaceae"
## bASV_30 "f__Caulobacteraceae"
## bASV_31 "f__Devosiaceae"
## bASV_32 "f__Oxalobacteraceae"
## bASV_33 "f__Pseudomonadaceae"
## bASV_34 "f__Comamonadaceae"
## bASV_35 "f__Oxalobacteraceae"
## bASV_36 "f__Chitinophagaceae"
## bASV_37 "f__Comamonadaceae"
## bASV_38 "f__Oxalobacteraceae"
## bASV_39 "f__Chitinophagaceae"
## bASV_40 "f__Oxalobacteraceae"
## bASV_41 "f__Streptomycetaceae"
## bASV_43 "f__Micrococcaceae"
## bASV_44 "f__Xanthomonadaceae"
## bASV_45 "f__Chitinophagaceae"
## bASV_46 "f__Comamonadaceae"
## bASV_48 "f__Xanthobacteraceae"
## bASV_49 "f__Sphingomonadaceae"
## bASV_50 "f__Xanthobacteraceae"
## bASV_51 "f__Oxalobacteraceae"
## bASV_52 "f__Streptomycetaceae"
## bASV_53 "f__Rhizobiaceae"
## bASV_54 "f__Comamonadaceae"
## bASV_55 "f__Streptomycetaceae"
## bASV_56 "f__Oxalobacteraceae"
## bASV_57 "f__Micrococcaceae"
## bASV_58 "f__Comamonadaceae"
## bASV_59 "f__Comamonadaceae"
## bASV_60 "f__Sphingomonadaceae"
## bASV_61 "f__Rhizobiaceae"
## bASV_62 "f__Sphingomonadaceae"
## bASV_63 "f__Rhizobiaceae"
## bASV_64 "f__Microscillaceae"
## bASV_65 "f__Oxalobacteraceae"
## bASV_66 "f__Rhizobiaceae"
## bASV_67 "f__Beijerinckiaceae"
## bASV_68 "f__Comamonadaceae"
## bASV_69 "f__Rhizobiaceae"
## bASV_70 "f__Chitinophagaceae"
## bASV_71 "f__Rhodanobacteraceae"
## bASV_72 "f__Comamonadaceae"
## bASV_73 "f__Caulobacteraceae"
## bASV_74 "f__Chitinophagaceae"
## bASV_75 "f__Oxalobacteraceae"
## bASV_76 "f__Caulobacteraceae"
## bASV_77 "f__Comamonadaceae"
## bASV_78 "f__Sphingomonadaceae"
## bASV_79 "f__Oxalobacteraceae"
## bASV_80 "f__Xanthomonadaceae"
## bASV_81 "f__Comamonadaceae"
## bASV_82 "f__Streptomycetaceae"
## bASV_83 "f__Oxalobacteraceae"
## bASV_84 "f__Methylophilaceae"
## bASV_85 "f__Comamonadaceae"
## bASV_86 "f__Oxalobacteraceae"
## bASV_87 "f__Chitinophagaceae"
## bASV_88 "f__Rhizobiaceae"
## bASV_89 "f__Rhizobiaceae"
## bASV_90 "f__Rhodanobacteraceae"
## bASV_91 "f__Xanthomonadaceae"
## bASV_92 "f__Oxalobacteraceae"
## bASV_93 "f__Comamonadaceae"
## bASV_94 "f__Oxalobacteraceae"
## bASV_95 "f__Comamonadaceae"
## bASV_96 "f__Xanthomonadaceae"
## bASV_97 "f__Comamonadaceae"
## bASV_98 "f__uncultured"
## bASV_99 "f__Rhodanobacteraceae"
## bASV_100 "f__Caulobacteraceae"
## bASV_101 "f__Pseudomonadaceae"
## bASV_102 "f__Chitinophagaceae"
## bASV_103 "f__Caulobacteraceae"
## bASV_104 "f__Oxalobacteraceae"
## bASV_105 "f__Comamonadaceae"
## bASV_106 "f__Xanthomonadaceae"
## bASV_107 "f__Sphingomonadaceae"
## bASV_108 "f__Chitinophagaceae"
## bASV_109 "f__Chitinophagaceae"
## bASV_110 "f__Sphingomonadaceae"
## bASV_111 "f__Rhizobiaceae"
## bASV_112 "f__Oxalobacteraceae"
## bASV_113 "f__Comamonadaceae"
## bASV_114 "f__Sphingomonadaceae"
## bASV_115 "f__Caulobacteraceae"
## bASV_116 "f__Xanthomonadaceae"
## bASV_117 "f__Oxalobacteraceae"
## bASV_118 "f__Gemmatimonadaceae"
## bASV_119 "f__Oxalobacteraceae"
## bASV_120 "f__Gemmatimonadaceae"
## bASV_121 "f__Pseudonocardiaceae"
## bASV_122 "f__Xanthomonadaceae"
## bASV_123 "f__Chitinophagaceae"
## bASV_124 "f__Nocardioidaceae"
## bASV_125 "f__Gemmatimonadaceae"
## bASV_126 "f__Xanthomonadaceae"
## bASV_128 "f__Nannocystaceae"
## bASV_129 "f__Comamonadaceae"
## bASV_131 "f__Comamonadaceae"
## bASV_132 "f__Xanthomonadaceae"
## bASV_133 "f__Xanthobacteraceae"
## bASV_134 "f__Oxalobacteraceae"
## bASV_135 "f__Sphingomonadaceae"
## bASV_136 "f__Oxalobacteraceae"
## bASV_137 "f__Rhizobiaceae"
## bASV_138 "f__Bryobacteraceae"
## bASV_139 "f__Burkholderiaceae"
## bASV_140 "f__Oxalobacteraceae"
## bASV_141 "f__Caulobacteraceae"
## bASV_142 "f__Xanthomonadaceae"
## bASV_143 "f__Comamonadaceae"
## bASV_144 "f__Rhizobiaceae"
## bASV_145 "f__Oxalobacteraceae"
## bASV_146 "f__Rhizobiaceae"
## bASV_147 "f__Sphingomonadaceae"
## bASV_148 "f__Burkholderiaceae"
## bASV_149 "f__Sphingomonadaceae"
## bASV_151 "f__Oxalobacteraceae"
## bASV_152 "f__Sphingomonadaceae"
## bASV_153 "f__Oxalobacteraceae"
## bASV_154 "f__Crocinitomicaceae"
## bASV_155 "f__Devosiaceae"
## bASV_156 "f__Oxalobacteraceae"
## bASV_158 "f__Comamonadaceae"
## bASV_159 "f__Sphingobacteriaceae"
## bASV_160 "f__Sphingomonadaceae"
## bASV_161 "f__Sphingomonadaceae"
## bASV_162 "f__Caulobacteraceae"
## bASV_163 "f__Sphingomonadaceae"
## bASV_164 "f__Xanthomonadaceae"
## bASV_165 "f__MSB-4B10"
## bASV_166 "f__Oxalobacteraceae"
## bASV_168 "f__Bacillaceae"
## bASV_169 "f__Chitinophagaceae"
## bASV_170 "f__Azospirillaceae"
## bASV_171 "f__Pyrinomonadaceae"
## bASV_173 "f__Rhizobiaceae"
## bASV_174 "f__Comamonadaceae"
## bASV_175 "f__Comamonadaceae"
## bASV_176 "f__Rokubacteriales"
## bASV_177 "f__Fimbriimonadaceae"
## bASV_178 "f__Caulobacteraceae"
## bASV_180 "f__Sphingomonadaceae"
## bASV_181 "f__Nocardioidaceae"
## bASV_182 "f__Steroidobacteraceae"
## bASV_183 "f__Pseudonocardiaceae"
## bASV_184 "f__Chthoniobacteraceae"
## bASV_185 "f__Gemmatimonadaceae"
## bASV_186 "f__Oxalobacteraceae"
## bASV_187 "f__Sphingomonadaceae"
## bASV_188 "f__Xanthomonadaceae"
## bASV_189 "f__Rhizobiaceae"
## bASV_190 "f__Sphingomonadaceae"
## bASV_191 "f__Xanthobacteraceae"
## bASV_192 "f__Oxalobacteraceae"
## bASV_193 "f__Sphingomonadaceae"
## bASV_194 "f__Sphingomonadaceae"
## bASV_195 "f__Nitrosomonadaceae"
## bASV_196 "f__Rhodanobacteraceae"
## bASV_197 "f__Rubritaleaceae"
## bASV_198 "f__WD2101_soil_group"
## bASV_199 "f__Oxalobacteraceae"
## bASV_200 "f__Gemmatimonadaceae"
## bASV_201 "f__Xanthobacteraceae"
## bASV_202 "f__Xanthomonadaceae"
## bASV_203 "f__Microscillaceae"
## bASV_204 "f__Saccharimonadaceae"
## bASV_205 "f__Xanthomonadaceae"
## bASV_206 "f__Sphingomonadaceae"
## bASV_207 "f__Devosiaceae"
## bASV_209 "f__Chthoniobacteraceae"
## bASV_211 "f__Caulobacteraceae"
## bASV_212 "f__Burkholderiaceae"
## bASV_213 "f__Oxalobacteraceae"
## bASV_214 "f__Gemmatimonadaceae"
## bASV_215 "f__Intrasporangiaceae"
## bASV_216 "f__Sphingobacteriaceae"
## bASV_217 "f__Xanthomonadaceae"
## bASV_218 "f__Comamonadaceae"
## bASV_219 "f__Rhizobiaceae"
## bASV_220 "f__Comamonadaceae"
## bASV_221 "f__Sphingobacteriaceae"
## bASV_222 "f__Intrasporangiaceae"
## bASV_223 NA
## bASV_224 "f__Comamonadaceae"
## bASV_225 "f__Spirosomaceae"
## bASV_226 "f__Xanthobacteraceae"
## bASV_227 "f__Subgroup_7"
## bASV_228 "f__Xanthomonadaceae"
## bASV_229 "f__Gemmatimonadaceae"
## bASV_230 "f__Comamonadaceae"
## bASV_231 "f__Sphingomonadaceae"
## bASV_232 "f__Oxalobacteraceae"
## bASV_233 "f__Chitinophagaceae"
## bASV_234 "f__Blastocatellaceae"
## bASV_235 "f__Xanthomonadaceae"
## bASV_237 "f__SC-I-84"
## bASV_238 "f__Sphingomonadaceae"
## bASV_240 "f__WD2101_soil_group"
## bASV_241 "f__Pseudonocardiaceae"
## bASV_242 "f__Chitinophagaceae"
## bASV_243 "f__Comamonadaceae"
## bASV_244 "f__Gemmatimonadaceae"
## bASV_245 "f__Streptomycetaceae"
## bASV_246 "f__Streptomycetaceae"
## bASV_247 "f__Chitinophagaceae"
## bASV_249 "f__Micromonosporaceae"
## bASV_250 "f__Oxalobacteraceae"
## bASV_251 "f__Sphingomonadaceae"
## bASV_252 "f__Sphingomonadaceae"
## bASV_253 "f__Oxalobacteraceae"
## bASV_254 "f__Blastocatellaceae"
## bASV_255 "f__Comamonadaceae"
## bASV_256 "f__Sphingomonadaceae"
## bASV_257 "f__Rhizobiaceae"
## bASV_258 "f__Oxalobacteraceae"
## bASV_259 "f__Herpetosiphonaceae"
## bASV_260 "f__SC-I-84"
## bASV_261 "f__uncultured"
## bASV_262 "f__Sphingomonadaceae"
## bASV_263 "f__Microscillaceae"
## bASV_264 "f__Comamonadaceae"
## bASV_265 "f__Gemmatimonadaceae"
## bASV_266 "f__Comamonadaceae"
## bASV_268 "f__Chitinophagaceae"
## bASV_269 "f__Oxalobacteraceae"
## bASV_270 "f__Steroidobacteraceae"
## bASV_271 "f__Reyranellaceae"
## bASV_272 "f__Gemmatimonadaceae"
## bASV_273 "f__Comamonadaceae"
## bASV_274 "f__Oxalobacteraceae"
## bASV_275 "f__Gitt-GS-136"
## bASV_276 "f__Oxalobacteraceae"
## bASV_277 "f__Comamonadaceae"
## bASV_278 "f__Comamonadaceae"
## bASV_279 "f__Gemmatimonadaceae"
## bASV_280 "f__Chitinophagaceae"
## bASV_281 "f__Xanthobacteraceae"
## bASV_282 "f__Caulobacteraceae"
## bASV_283 "f__Caulobacteraceae"
## bASV_285 "f__Oxalobacteraceae"
## bASV_286 "f__Beijerinckiaceae"
## bASV_288 "f__Rhodanobacteraceae"
## bASV_289 "f__Oxalobacteraceae"
## bASV_290 "f__Alcaligenaceae"
## bASV_291 "f__Pseudonocardiaceae"
## bASV_292 "f__Bacillaceae"
## bASV_293 "f__Oxalobacteraceae"
## bASV_294 "f__Blastocatellaceae"
## bASV_295 "f__Comamonadaceae"
## bASV_297 "f__Caulobacteraceae"
## bASV_298 "f__Xanthobacteraceae"
## bASV_299 "f__Blastocatellaceae"
## bASV_300 "f__Oxalobacteraceae"
## bASV_302 "f__Oxalobacteraceae"
## bASV_303 "f__Saccharimonadaceae"
## bASV_304 "f__Nitrospiraceae"
## bASV_305 "f__Xanthomonadaceae"
## bASV_306 "f__Oxalobacteraceae"
## bASV_307 "f__A21b"
## bASV_308 "f__Oxalobacteraceae"
## bASV_309 "f__Comamonadaceae"
## bASV_310 "f__Caulobacteraceae"
## bASV_312 "f__Comamonadaceae"
## bASV_313 "f__Rubritaleaceae"
## bASV_314 "f__Comamonadaceae"
## bASV_315 "f__Hyphomicrobiaceae"
## bASV_316 "f__Gemmatimonadaceae"
## bASV_317 "f__Sphingomonadaceae"
## bASV_318 "f__Sphingomonadaceae"
## bASV_319 "f__Unknown_Family"
## bASV_321 "f__Sphingomonadaceae"
## bASV_322 "f__Xanthomonadaceae"
## bASV_323 "f__Sphingobacteriaceae"
## bASV_324 "f__Spirosomaceae"
## bASV_325 "f__Burkholderiaceae"
## bASV_326 "f__Blastocatellaceae"
## bASV_327 "f__Xanthomonadaceae"
## bASV_328 "f__Oxalobacteraceae"
## bASV_330 "f__Chitinophagaceae"
## bASV_331 "f__Rhodanobacteraceae"
## bASV_332 "f__Gemmatimonadaceae"
## bASV_333 "f__Spirosomaceae"
## bASV_334 "f__Sphingobacteriaceae"
## bASV_335 "f__Nocardioidaceae"
## bASV_336 "f__Oxalobacteraceae"
## bASV_337 "f__Comamonadaceae"
## bASV_339 "f__Xanthobacteraceae"
## bASV_340 "f__Sphingomonadaceae"
## bASV_341 "f__Comamonadaceae"
## bASV_342 "f__Comamonadaceae"
## bASV_343 "f__Oxalobacteraceae"
## bASV_345 "f__Chitinophagaceae"
## bASV_346 "f__SC-I-84"
## bASV_347 "f__Cellvibrionaceae"
## bASV_348 "f__Sphingomonadaceae"
## bASV_349 "f__Oxalobacteraceae"
## bASV_350 "f__Sphingomonadaceae"
## bASV_351 "f__Rhizobiaceae"
## bASV_352 "f__Sphingomonadaceae"
## bASV_353 "f__Caulobacteraceae"
## bASV_354 "f__Chitinophagaceae"
## bASV_355 "f__Sphingomonadaceae"
## bASV_356 "f__Comamonadaceae"
## bASV_357 "f__Burkholderiaceae"
## bASV_358 "f__Sphingobacteriaceae"
## bASV_359 "f__Caulobacteraceae"
## bASV_361 "f__Sphingomonadaceae"
## bASV_362 "f__SC-I-84"
## bASV_363 "f__Microscillaceae"
## bASV_364 "f__Methyloligellaceae"
## bASV_365 "f__Chitinophagaceae"
## bASV_366 "f__Oxalobacteraceae"
## bASV_367 "f__Gemmatimonadaceae"
## bASV_368 "f__Xanthobacteraceae"
## bASV_369 "f__Comamonadaceae"
## bASV_370 "f__Saccharimonadales"
## bASV_371 "f__Rhodanobacteraceae"
## bASV_372 "f__Comamonadaceae"
## bASV_374 "f__Gemmatimonadaceae"
## bASV_375 "f__Oxalobacteraceae"
## bASV_376 "f__Comamonadaceae"
## bASV_377 "f__Gitt-GS-136"
## bASV_378 "f__Gemmatimonadaceae"
## bASV_379 "f__Burkholderiaceae"
## bASV_380 "f__Myxococcaceae"
## bASV_381 "f__Xanthomonadaceae"
## bASV_382 "f__SC-I-84"
## bASV_383 "f__Gemmatimonadaceae"
## bASV_384 "f__Comamonadaceae"
## bASV_385 "f__Nocardioidaceae"
## bASV_386 "f__Sphingomonadaceae"
## bASV_387 "f__Chitinophagaceae"
## bASV_388 "f__Rhizobiaceae"
## bASV_389 "f__Nitrosomonadaceae"
## bASV_390 "f__Oxalobacteraceae"
## bASV_391 "f__Bryobacteraceae"
## bASV_392 "f__Reyranellaceae"
## bASV_395 "f__Gemmatimonadaceae"
## bASV_396 "f__Oxalobacteraceae"
## bASV_397 "f__Gemmatimonadaceae"
## bASV_399 "f__Comamonadaceae"
## bASV_400 "f__Nitrosomonadaceae"
## bASV_401 "f__Xanthobacteraceae"
## bASV_402 "f__Rhizobiaceae"
## bASV_403 "f__Burkholderiaceae"
## bASV_404 "f__Comamonadaceae"
## bASV_406 "f__Xanthomonadaceae"
## bASV_407 "f__Fimbriimonadaceae"
## bASV_408 "f__Blastocatellaceae"
## bASV_409 "f__Nocardioidaceae"
## bASV_410 "f__Burkholderiaceae"
## bASV_411 "f__Rhodanobacteraceae"
## bASV_412 "f__Comamonadaceae"
## bASV_413 "f__Rhodanobacteraceae"
## bASV_414 "f__Pseudomonadaceae"
## bASV_416 "f__Nitrosomonadaceae"
## bASV_417 "f__Beijerinckiaceae"
## bASV_418 "f__Beijerinckiaceae"
## bASV_419 "f__Oxalobacteraceae"
## bASV_420 "f__Gaiellaceae"
## bASV_421 "f__Longimicrobiaceae"
## bASV_422 "f__Sphingomonadaceae"
## bASV_423 "f__Oxalobacteraceae"
## bASV_424 "f__Xanthomonadaceae"
## bASV_425 "f__Ilumatobacteraceae"
## bASV_426 "f__Sphingomonadaceae"
## bASV_427 "f__Vicinamibacteraceae"
## bASV_428 "f__Unknown_Family"
## bASV_429 "f__Chitinophagaceae"
## bASV_430 "f__Caulobacteraceae"
## bASV_431 "f__Hymenobacteraceae"
## bASV_432 "f__Longimicrobiaceae"
## bASV_433 "f__Steroidobacteraceae"
## bASV_434 "f__Nocardioidaceae"
## bASV_435 "f__Acidobacteriaceae_(Subgroup_1)"
## bASV_436 "f__Hymenobacteraceae"
## bASV_438 "f__Beijerinckiaceae"
## bASV_439 "f__Micropepsaceae"
## bASV_440 "f__SC-I-84"
## bASV_441 "f__Oxalobacteraceae"
## bASV_442 "f__Roseiflexaceae"
## bASV_443 "f__Microscillaceae"
## bASV_446 "f__Sphingomonadaceae"
## bASV_447 "f__Blastocatellaceae"
## bASV_448 "f__Chitinophagaceae"
## bASV_449 "f__Beijerinckiaceae"
## bASV_450 "f__Xanthobacteraceae"
## bASV_451 "f__Dongiaceae"
## bASV_453 "f__Methylophilaceae"
## bASV_454 "f__Geodermatophilaceae"
## bASV_455 "f__Sphingobacteriaceae"
## bASV_456 "f__Nocardioidaceae"
## bASV_457 "f__Oxalobacteraceae"
## bASV_458 "f__Nocardioidaceae"
## bASV_459 "f__Sphingobacteriaceae"
## bASV_460 "f__Nocardioidaceae"
## bASV_461 "f__Sphingomonadaceae"
## bASV_462 "f__Sphingomonadaceae"
## bASV_464 "f__Gemmatimonadaceae"
## bASV_465 "f__WD2101_soil_group"
## bASV_466 "f__Pseudonocardiaceae"
## bASV_467 "f__uncultured"
## bASV_468 "f__Gemmatimonadaceae"
## bASV_469 "f__Nitrosomonadaceae"
## bASV_471 "f__Oxalobacteraceae"
## bASV_472 "f__Chitinophagaceae"
## bASV_474 "f__Comamonadaceae"
## bASV_476 "f__Comamonadaceae"
## bASV_477 "f__Comamonadaceae"
## bASV_478 "f__Oxalobacteraceae"
## bASV_479 "f__Xanthomonadaceae"
## bASV_480 "f__Thermomonosporaceae"
## bASV_481 "f__Sandaracinaceae"
## bASV_482 "f__Comamonadaceae"
## bASV_483 "f__Intrasporangiaceae"
## bASV_484 "f__Comamonadaceae"
## bASV_485 "f__Oxalobacteraceae"
## bASV_486 "f__Chitinophagaceae"
## bASV_487 "f__Oxalobacteraceae"
## bASV_488 "f__Rhodanobacteraceae"
## bASV_489 "f__Mycobacteriaceae"
## bASV_490 "f__Xanthomonadaceae"
## bASV_491 "f__Bacillaceae"
## bASV_492 "f__uncultured"
## bASV_493 "f__Flavobacteriaceae"
## bASV_494 "f__Chitinophagaceae"
## bASV_495 "f__Comamonadaceae"
## bASV_496 "f__Unknown_Family"
## bASV_498 "f__Pyrinomonadaceae"
## bASV_499 "f__Sphingomonadaceae"
## bASV_500 "f__uncultured"
## bASV_501 "f__Solibacteraceae"
## bASV_503 "f__Blastocatellaceae"
## bASV_504 "f__Xanthomonadaceae"
## bASV_505 "f__Nocardioidaceae"
## bASV_506 "f__Sphingomonadaceae"
## bASV_507 "f__Comamonadaceae"
## bASV_508 "f__Dongiaceae"
## bASV_509 "f__Dongiaceae"
## bASV_510 "f__Sphingomonadaceae"
## bASV_511 "f__Methylophilaceae"
## bASV_512 "f__Cellvibrionaceae"
## bASV_513 "f__Blastocatellaceae"
## bASV_514 "f__Comamonadaceae"
## bASV_515 "f__Caulobacteraceae"
## bASV_516 "f__Reyranellaceae"
## bASV_517 "f__Flavobacteriaceae"
## bASV_518 "f__Comamonadaceae"
## bASV_519 "f__Bryobacteraceae"
## bASV_520 "f__Gemmatimonadaceae"
## bASV_521 "f__Comamonadaceae"
## bASV_522 "f__Chitinophagaceae"
## bASV_524 "f__Sphingomonadaceae"
## bASV_525 "f__Burkholderiaceae"
## bASV_526 "f__Xanthobacteraceae"
## bASV_527 "f__IMCC26256"
## bASV_528 "f__Comamonadaceae"
## bASV_529 "f__Oxalobacteraceae"
## bASV_530 "f__IMCC26256"
## bASV_531 "f__Gemmatimonadaceae"
## bASV_533 "f__Weeksellaceae"
## bASV_534 "f__Blastocatellaceae"
## bASV_535 "f__Flavobacteriaceae"
## bASV_536 "f__Nocardioidaceae"
## bASV_537 "f__Comamonadaceae"
## bASV_539 "f__Comamonadaceae"
## bASV_540 "f__Oxalobacteraceae"
## bASV_541 "f__Sphingomonadaceae"
## bASV_542 "f__Glycomycetaceae"
## bASV_546 "f__uncultured"
## bASV_547 "f__Sphingobacteriaceae"
## bASV_548 "f__Xanthomonadaceae"
## bASV_549 "f__Gemmatimonadaceae"
## bASV_550 "f__Oxalobacteraceae"
## bASV_551 "f__Pyrinomonadaceae"
## bASV_552 "f__Rhodanobacteraceae"
## bASV_553 "f__Sphingobacteriaceae"
## bASV_554 "f__Streptosporangiaceae"
## bASV_556 "f__Nocardioidaceae"
## bASV_557 "f__Xanthomonadaceae"
## bASV_558 "f__Chitinophagaceae"
## bASV_561 "f__Rhodanobacteraceae"
## bASV_562 "f__Caulobacteraceae"
## bASV_563 "f__Comamonadaceae"
## bASV_564 "f__Chitinophagaceae"
## bASV_565 "f__Sphingomonadaceae"
## bASV_567 "f__Caulobacteraceae"
## bASV_569 "f__Flavobacteriaceae"
## bASV_570 "f__Chitinophagaceae"
## bASV_571 "f__IMCC26256"
## bASV_572 "f__Sphingomonadaceae"
## bASV_573 "f__Labraceae"
## bASV_574 "f__uncultured"
## bASV_575 "f__WD2101_soil_group"
## bASV_576 "f__uncultured"
## bASV_577 "f__Gemmatimonadaceae"
## bASV_578 "f__Solibacteraceae"
## bASV_579 "f__KD4-96"
## bASV_580 "f__SC-I-84"
## bASV_581 "f__Rhizobiaceae"
## bASV_582 "f__Rokubacteriales"
## bASV_583 "f__Solibacteraceae"
## bASV_584 "f__Caulobacteraceae"
## bASV_585 "f__Vicinamibacteraceae"
## bASV_586 "f__WD2101_soil_group"
## bASV_587 "f__Comamonadaceae"
## bASV_590 "f__Oxalobacteraceae"
## bASV_591 "f__Micropepsaceae"
## bASV_592 "f__Burkholderiaceae"
## bASV_593 "f__Pseudonocardiaceae"
## bASV_595 "f__Gemmatimonadaceae"
## bASV_596 "f__Rhodanobacteraceae"
## bASV_597 "f__Unknown_Family"
## bASV_598 "f__Intrasporangiaceae"
## bASV_599 "f__Hyphomicrobiaceae"
## bASV_600 "f__Sphingobacteriaceae"
## bASV_601 "f__WD2101_soil_group"
## bASV_602 "f__Rhizobiaceae"
## bASV_603 "f__Oxalobacteraceae"
## bASV_604 "f__WD2101_soil_group"
## bASV_605 "f__Xanthomonadaceae"
## bASV_606 "f__Comamonadaceae"
## bASV_607 "f__Gemmatimonadaceae"
## bASV_609 "f__Subgroup_7"
## bASV_611 "f__Sphingomonadaceae"
## bASV_612 "f__Vicinamibacteraceae"
## bASV_613 "f__Gemmatimonadaceae"
## bASV_614 "f__Nocardioidaceae"
## bASV_615 "f__Oxalobacteraceae"
## bASV_616 "f__Gaiellaceae"
## bASV_617 "f__Rhizobiaceae"
## bASV_619 "f__SC-I-84"
## bASV_621 "f__Hyphomicrobiaceae"
## bASV_622 "f__Subgroup_7"
## bASV_623 "f__Oxalobacteraceae"
## bASV_624 "f__Sphingomonadaceae"
## bASV_625 "f__Oxalobacteraceae"
## bASV_626 "f__Oxalobacteraceae"
## bASV_627 "f__Oxalobacteraceae"
## bASV_628 "f__Chitinophagaceae"
## bASV_629 "f__uncultured"
## bASV_632 "f__Micropepsaceae"
## bASV_635 "f__Sphingomonadaceae"
## bASV_636 "f__Xanthomonadaceae"
## bASV_637 "f__Gemmatimonadaceae"
## bASV_638 "f__Haliangiaceae"
## bASV_639 "f__Sphingomonadaceae"
## bASV_640 "f__Oxalobacteraceae"
## bASV_641 "f__Xanthobacteraceae"
## bASV_642 "f__Intrasporangiaceae"
## bASV_643 "f__Pyrinomonadaceae"
## bASV_645 "f__Caulobacteraceae"
## bASV_646 "f__Oxalobacteraceae"
## bASV_647 "f__Sphingomonadaceae"
## bASV_648 "f__Pyrinomonadaceae"
## bASV_649 "f__Chthoniobacteraceae"
## bASV_650 "f__Comamonadaceae"
## bASV_651 "f__Sphingobacteriaceae"
## bASV_652 "f__Xanthomonadaceae"
## bASV_653 "f__Gemmatimonadaceae"
## bASV_654 "f__Dongiaceae"
## bASV_655 "f__Flavobacteriaceae"
## bASV_657 "f__Oxalobacteraceae"
## bASV_658 "f__Micrococcaceae"
## bASV_659 "f__67-14"
## bASV_660 "f__uncultured"
## bASV_661 "f__IMCC26256"
## bASV_662 "f__SC-I-84"
## bASV_663 "f__Oxalobacteraceae"
## bASV_664 "f__Methyloligellaceae"
## bASV_665 "f__Caulobacteraceae"
## bASV_666 "f__Gemmatimonadaceae"
## bASV_667 "f__MB-A2-108"
## bASV_668 "f__PLTA13"
## bASV_669 "f__Comamonadaceae"
## bASV_670 "f__Subgroup_17"
## bASV_672 "f__Comamonadaceae"
## bASV_674 "f__WD2101_soil_group"
## bASV_675 "f__uncultured"
## bASV_676 "f__Blastocatellaceae"
## bASV_677 "f__Oxalobacteraceae"
## bASV_678 "f__Sphingomonadaceae"
## bASV_682 "f__Caulobacteraceae"
## bASV_683 "f__Glycomycetaceae"
## bASV_684 "f__Paenibacillaceae"
## bASV_687 "f__uncultured"
## bASV_688 "f__Unknown_Family"
## bASV_691 "f__Subgroup_2"
## bASV_692 "f__AD3"
## bASV_693 "f__uncultured"
## bASV_694 "f__Comamonadaceae"
## bASV_695 "f__Nocardioidaceae"
## bASV_696 "f__Steroidobacteraceae"
## bASV_698 "f__Rhizobiales_Incertae_Sedis"
## bASV_699 "f__KD4-96"
## bASV_700 "f__Gemmatimonadaceae"
## bASV_701 "f__Comamonadaceae"
## bASV_702 "f__uncultured"
## bASV_703 "f__Comamonadaceae"
## bASV_704 "f__Gemmatimonadaceae"
## bASV_705 "f__Nocardioidaceae"
## bASV_706 "f__Chitinophagaceae"
## bASV_707 "f__Vicinamibacteraceae"
## bASV_708 "f__Sphingobacteriaceae"
## bASV_709 "f__Unknown_Family"
## bASV_711 "f__Nocardioidaceae"
## bASV_712 "f__Burkholderiaceae"
## bASV_713 "f__uncultured"
## bASV_714 "f__Roseiflexaceae"
## bASV_715 "f__Pseudonocardiaceae"
## bASV_716 "f__SC-I-84"
## bASV_717 "f__Chitinophagaceae"
## bASV_719 "f__Paenibacillaceae"
## bASV_720 "f__Gemmatimonadaceae"
## bASV_721 "f__Chitinophagaceae"
## bASV_722 "f__Comamonadaceae"
## bASV_724 "f__Flavobacteriaceae"
## bASV_725 "f__Chthoniobacteraceae"
## bASV_726 "f__IMCC26256"
## bASV_728 "f__Sphingomonadaceae"
## bASV_729 "f__Xanthomonadaceae"
## bASV_730 "f__Oxalobacteraceae"
## bASV_731 "f__Oxalobacteraceae"
## bASV_732 "f__Chthoniobacteraceae"
## bASV_733 "f__Chthoniobacteraceae"
## bASV_735 "f__Fimbriimonadaceae"
## bASV_736 "f__Nitrospiraceae"
## bASV_737 "f__uncultured"
## bASV_738 "f__Xanthobacteraceae"
## bASV_739 "f__Paenibacillaceae"
## bASV_740 "f__Gemmatimonadaceae"
## bASV_741 "f__uncultured"
## bASV_743 "f__Chitinophagaceae"
## bASV_744 "f__Comamonadaceae"
## bASV_745 "f__Comamonadaceae"
## bASV_746 "f__Rhizobiaceae"
## bASV_747 "f__Gemmatimonadaceae"
## bASV_749 "f__Hyphomicrobiaceae"
## bASV_752 "f__Sphingomonadaceae"
## bASV_753 "f__Vicinamibacteraceae"
## bASV_754 "f__Oxalobacteraceae"
## bASV_755 "f__Oxalobacteraceae"
## bASV_756 "f__Oxalobacteraceae"
## bASV_757 "f__Caulobacteraceae"
## bASV_758 "f__BIrii41"
## bASV_759 "f__Hyphomicrobiaceae"
## bASV_760 "f__Sphingomonadaceae"
## bASV_761 "f__uncultured"
## bASV_762 "f__Subgroup_7"
## bASV_763 "f__WD2101_soil_group"
## bASV_764 "f__Gemmatimonadaceae"
## bASV_766 "f__Sphingomonadaceae"
## bASV_767 "f__Opitutaceae"
## bASV_769 "f__Subgroup_7"
## bASV_770 "f__Polyangiaceae"
## bASV_771 "f__Intrasporangiaceae"
## bASV_772 "f__Comamonadaceae"
## bASV_773 "f__Xanthobacteraceae"
## bASV_776 "f__mle1-27"
## bASV_777 "f__Nitrospiraceae"
## bASV_780 "f__Oxalobacteraceae"
## bASV_782 "f__Nocardioidaceae"
## bASV_784 "f__Rhodanobacteraceae"
## bASV_785 "f__Oxalobacteraceae"
## bASV_786 "f__Comamonadaceae"
## bASV_787 "f__Chitinophagaceae"
## bASV_788 "f__Pseudonocardiaceae"
## bASV_789 "f__Alcaligenaceae"
## bASV_791 "f__Pedosphaeraceae"
## bASV_792 "f__Comamonadaceae"
## bASV_793 "f__Chitinophagaceae"
## bASV_794 "f__Nitrosomonadaceae"
## bASV_795 "f__Gemmatimonadaceae"
## bASV_797 "f__Streptomycetaceae"
## bASV_798 "f__Sphingomonadaceae"
## bASV_799 "f__C0119"
## bASV_800 "f__Gemmatimonadaceae"
## bASV_801 "f__Comamonadaceae"
## bASV_803 "f__Chitinophagaceae"
## bASV_804 "f__Oxalobacteraceae"
## bASV_805 "f__Oxalobacteraceae"
## bASV_806 "f__Chitinophagaceae"
## bASV_807 "f__Pyrinomonadaceae"
## bASV_808 "f__KD4-96"
## bASV_809 "f__Bacillaceae"
## bASV_810 "f__Polyangiaceae"
## bASV_812 "f__Chitinophagaceae"
## bASV_813 "f__Sphingomonadaceae"
## bASV_814 "f__Xanthobacteraceae"
## bASV_816 "f__Unknown_Family"
## bASV_817 "f__Burkholderiaceae"
## bASV_819 "f__Nocardioidaceae"
## bASV_820 "f__Nitrosomonadaceae"
## bASV_821 "f__Gemmatimonadaceae"
## bASV_822 "f__Acidobacteriaceae_(Subgroup_1)"
## bASV_823 "f__Gemmatimonadaceae"
## bASV_824 "f__Nocardioidaceae"
## bASV_825 "f__Oxalobacteraceae"
## bASV_826 "f__A21b"
## bASV_827 "f__Xanthomonadaceae"
## bASV_828 "f__Oxalobacteraceae"
## bASV_829 "f__Micropepsaceae"
## bASV_830 "f__Subgroup_17"
## bASV_831 "f__Comamonadaceae"
## bASV_832 "f__Xanthomonadaceae"
## bASV_833 "f__Chthoniobacteraceae"
## bASV_835 "f__Sphingomonadaceae"
## bASV_836 "f__Oxalobacteraceae"
## bASV_837 "f__Pyrinomonadaceae"
## bASV_838 "f__Xanthomonadaceae"
## bASV_840 "f__uncultured"
## bASV_841 "f__Oxalobacteraceae"
## bASV_842 "f__Hymenobacteraceae"
## bASV_843 "f__Oxalobacteraceae"
## bASV_844 "f__Nitrosomonadaceae"
## bASV_845 "f__Comamonadaceae"
## bASV_846 NA
## bASV_847 "f__Oxalobacteraceae"
## bASV_848 "f__Microscillaceae"
## bASV_849 "f__uncultured"
## bASV_851 "f__Weeksellaceae"
## bASV_854 "f__Oxalobacteraceae"
## bASV_855 "f__Beijerinckiaceae"
## bASV_856 "f__uncultured"
## bASV_857 "f__Nitrosomonadaceae"
## bASV_858 "f__Chitinophagaceae"
## bASV_859 "f__Caulobacteraceae"
## bASV_860 "f__SC-I-84"
## bASV_861 "f__Blastocatellaceae"
## bASV_865 "f__Gemmatimonadaceae"
## bASV_866 "f__Bacillaceae"
## bASV_867 "f__WD2101_soil_group"
## bASV_868 "f__SC-I-84"
## bASV_869 "f__Pyrinomonadaceae"
## bASV_870 "f__Rhodocyclaceae"
## bASV_871 "f__Paenibacillaceae"
## bASV_874 "f__Opitutaceae"
## bASV_875 "f__Xanthomonadaceae"
## bASV_876 "f__Oxalobacteraceae"
## bASV_877 "f__uncultured"
## bASV_878 "f__SC-I-84"
## bASV_879 "f__Comamonadaceae"
## bASV_880 "f__SC-I-84"
## bASV_882 "f__Nitrosomonadaceae"
## bASV_883 "f__Methylophilaceae"
## bASV_885 "f__Xanthobacteraceae"
## bASV_886 "f__Deinococcaceae"
## bASV_887 "f__Gemmatimonadaceae"
## bASV_888 "f__Comamonadaceae"
## bASV_890 "f__uncultured"
## bASV_891 "f__Myxococcaceae"
## bASV_892 "f__Chitinophagaceae"
## bASV_893 "f__A21b"
## bASV_895 "f__Gemmatimonadaceae"
## bASV_896 "f__11-24"
## bASV_897 "f__uncultured"
## bASV_898 "f__uncultured"
## bASV_901 "f__Chitinophagaceae"
## bASV_902 "f__uncultured"
## bASV_903 "f__Gemmataceae"
## bASV_904 "f__Flavobacteriaceae"
## bASV_905 "f__Pseudonocardiaceae"
## bASV_906 "f__Gemmatimonadaceae"
## bASV_907 "f__Pseudomonadaceae"
## bASV_908 "f__Caulobacteraceae"
## bASV_909 "f__Oxalobacteraceae"
## bASV_910 "f__Micropepsaceae"
## bASV_911 "f__Comamonadaceae"
## bASV_912 "f__Xanthobacteraceae"
## bASV_914 "f__Oxalobacteraceae"
## bASV_915 "f__Comamonadaceae"
## bASV_916 NA
## bASV_917 "f__uncultured"
## bASV_918 "f__Flavobacteriaceae"
## bASV_920 "f__Gemmatimonadaceae"
## bASV_921 "f__Comamonadaceae"
## bASV_922 "f__Xanthobacteraceae"
## bASV_923 "f__Micromonosporaceae"
## bASV_924 "f__WD2101_soil_group"
## bASV_925 "f__Comamonadaceae"
## bASV_926 "f__Methyloligellaceae"
## bASV_928 "f__Steroidobacteraceae"
## bASV_930 "f__Xanthomonadaceae"
## bASV_931 "f__Solibacteraceae"
## bASV_933 "f__Sphingomonadaceae"
## bASV_934 "f__Xanthobacteraceae"
## bASV_935 "f__Chthoniobacteraceae"
## bASV_936 "f__Tepidisphaeraceae"
## bASV_937 "f__Crocinitomicaceae"
## bASV_939 "f__Xanthobacteraceae"
## bASV_940 "f__Xanthobacteraceae"
## bASV_941 "f__SC-I-84"
## bASV_945 "f__Sphingomonadaceae"
## bASV_946 "f__Comamonadaceae"
## bASV_947 "f__Oxalobacteraceae"
## bASV_948 "f__Oxalobacteraceae"
## bASV_949 "f__Alcaligenaceae"
## bASV_950 "f__Bryobacteraceae"
## bASV_951 "f__Rhizobiales_Incertae_Sedis"
## bASV_952 "f__Spirosomaceae"
## bASV_953 "f__Saccharimonadaceae"
## bASV_954 "f__Nitrosomonadaceae"
## bASV_955 "f__Rhizobiales_Incertae_Sedis"
## bASV_956 "f__Microscillaceae"
## bASV_958 "f__Ilumatobacteraceae"
## bASV_959 "f__IMCC26256"
## bASV_960 "f__SC-I-84"
## bASV_961 "f__Solibacteraceae"
## bASV_963 "f__Gemmatimonadaceae"
## bASV_964 "f__BIrii41"
## bASV_966 "f__C0119"
## bASV_969 "f__uncultured"
## bASV_972 "f__Caulobacteraceae"
## bASV_973 "f__WD2101_soil_group"
## bASV_974 "f__Micropepsaceae"
## bASV_975 "f__Chitinophagaceae"
## bASV_976 "f__Nitrosomonadaceae"
## bASV_977 "f__Subgroup_7"
## bASV_979 "f__Pedosphaeraceae"
## bASV_980 "f__Comamonadaceae"
## bASV_981 "f__Vicinamibacteraceae"
## bASV_982 "f__Xanthomonadaceae"
## bASV_983 "f__Pyrinomonadaceae"
## bASV_984 "f__Rhizobiales_Incertae_Sedis"
## bASV_986 "f__Xanthomonadaceae"
## bASV_988 "f__Solibacteraceae"
## bASV_989 "f__Comamonadaceae"
## bASV_990 "f__Beijerinckiaceae"
## bASV_991 "f__Gemmatimonadaceae"
## bASV_992 "f__uncultured"
## bASV_994 "f__Chitinophagaceae"
## bASV_995 "f__uncultured"
## bASV_996 "f__Xanthomonadaceae"
## bASV_998 "f__uncultured"
## bASV_999 "f__Oxalobacteraceae"
## bASV_1001 "f__Xanthobacteraceae"
## bASV_1003 "f__Gemmatimonadaceae"
## bASV_1005 "f__Gemmatimonadaceae"
## bASV_1006 "f__Rokubacteriales"
## bASV_1007 "f__Blastocatellaceae"
## bASV_1008 "f__Rhizobiaceae"
## bASV_1010 "f__Gemmatimonadaceae"
## bASV_1011 "f__Pseudonocardiaceae"
## bASV_1012 "f__Iamiaceae"
## bASV_1013 "f__uncultured"
## bASV_1014 "f__Rhodanobacteraceae"
## bASV_1015 "f__Bacillaceae"
## bASV_1016 "f__Gemmatimonadaceae"
## bASV_1017 "f__Chitinophagaceae"
## bASV_1018 "f__Gemmatimonadaceae"
## bASV_1019 "f__Rubritaleaceae"
## bASV_1020 "f__WD2101_soil_group"
## bASV_1021 "f__A21b"
## bASV_1022 "f__Vicinamibacteraceae"
## bASV_1027 "f__Xanthomonadaceae"
## bASV_1028 "f__WD2101_soil_group"
## bASV_1029 "f__Comamonadaceae"
## bASV_1030 "f__Rhodanobacteraceae"
## bASV_1031 "f__Geodermatophilaceae"
## bASV_1032 "f__Comamonadaceae"
## bASV_1033 "f__Micropepsaceae"
## bASV_1034 "f__Saccharimonadales"
## bASV_1035 "f__Sphingobacteriaceae"
## bASV_1037 "f__Chitinophagaceae"
## bASV_1038 "f__Paenibacillaceae"
## bASV_1039 "f__Rubritaleaceae"
## bASV_1041 "f__uncultured"
## bASV_1042 "f__Comamonadaceae"
## bASV_1045 NA
## bASV_1046 "f__Rhodanobacteraceae"
## bASV_1047 "f__Nitrosomonadaceae"
## bASV_1048 "f__Oxalobacteraceae"
## bASV_1049 "f__WD2101_soil_group"
## bASV_1052 "f__JG30-KF-AS9"
## bASV_1054 "f__Crocinitomicaceae"
## bASV_1055 "f__Blfdi19"
## bASV_1056 "f__Nocardioidaceae"
## bASV_1057 "f__Chitinophagaceae"
## bASV_1058 "f__Xanthobacteraceae"
## bASV_1059 "f__Solibacteraceae"
## bASV_1060 "f__Saccharimonadaceae"
## bASV_1061 "f__Xanthobacteraceae"
## bASV_1062 NA
## bASV_1064 "f__SC-I-84"
## bASV_1066 "f__Micropepsaceae"
## bASV_1067 "f__Dongiaceae"
## bASV_1068 "f__Glycomycetaceae"
## bASV_1070 "f__Nitrosomonadaceae"
## bASV_1071 "f__Hyphomonadaceae"
## bASV_1072 "f__Oxalobacteraceae"
## bASV_1073 "f__Oxalobacteraceae"
## bASV_1074 "f__Nocardioidaceae"
## bASV_1075 "f__Solibacteraceae"
## bASV_1077 "f__Oxalobacteraceae"
## bASV_1078 "f__uncultured"
## bASV_1079 "f__BIrii41"
## bASV_1080 "f__Pseudomonadaceae"
## bASV_1081 "f__Subgroup_7"
## bASV_1082 "f__uncultured"
## bASV_1083 "f__Haliangiaceae"
## bASV_1084 "f__Xanthomonadaceae"
## bASV_1085 "f__Vampirovibrionaceae"
## bASV_1086 "f__Steroidobacteraceae"
## bASV_1087 "f__Gemmatimonadaceae"
## bASV_1088 "f__Intrasporangiaceae"
## bASV_1089 "f__Roseiflexaceae"
## bASV_1090 "f__Comamonadaceae"
## bASV_1091 "f__Gemmatimonadaceae"
## bASV_1092 "f__Nitrospiraceae"
## bASV_1094 "f__Rubritaleaceae"
## bASV_1095 "f__Acetobacteraceae"
## bASV_1096 "f__Rhodanobacteraceae"
## bASV_1098 "f__Chitinophagaceae"
## bASV_1099 "f__Gemmatimonadaceae"
## bASV_1102 "f__Burkholderiaceae"
## bASV_1103 "f__Comamonadaceae"
## bASV_1105 "f__Tepidisphaeraceae"
## bASV_1107 "f__Hymenobacteraceae"
## bASV_1108 "f__Opitutaceae"
## bASV_1109 "f__Comamonadaceae"
## bASV_1110 "f__Sphingobacteriaceae"
## bASV_1111 "f__SC-I-84"
## bASV_1112 "f__Pseudonocardiaceae"
## bASV_1114 "f__Xanthobacteraceae"
## bASV_1115 "f__Bryobacteraceae"
## bASV_1116 "f__Sphingomonadaceae"
## bASV_1117 "f__Bdellovibrionaceae"
## bASV_1118 "f__Caulobacteraceae"
## bASV_1119 "f__Sphingomonadaceae"
## bASV_1120 NA
## bASV_1121 "f__Subgroup_7"
## bASV_1122 "f__C0119"
## bASV_1123 "f__Beijerinckiaceae"
## bASV_1124 "f__Xanthobacteraceae"
## bASV_1125 "f__WD2101_soil_group"
## bASV_1126 "f__Oxalobacteraceae"
## bASV_1127 "f__Vicinamibacteraceae"
## bASV_1128 "f__KF-JG30-B3"
## bASV_1129 "f__SC-I-84"
## bASV_1130 "f__uncultured"
## bASV_1131 "f__Unknown_Family"
## bASV_1132 "f__uncultured"
## bASV_1133 "f__Comamonadaceae"
## bASV_1134 "f__Polyangiaceae"
## bASV_1136 "f__Blastocatellaceae"
## bASV_1137 "f__Alcaligenaceae"
## Genus Species
## bASV_5 "g__Acidovorax" "s__"
## bASV_7 "g__Pseudomonas" "s__"
## bASV_9 "g__Niastella" "s__"
## bASV_11 "g__Sphingomonas" "s__"
## bASV_12 "g__Streptomyces" "s__"
## bASV_13 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_14 "g__Rhizobacter" "s__"
## bASV_15 NA NA
## bASV_16 "g__Massilia" "s__"
## bASV_18 NA NA
## bASV_19 "g__Caulobacter" "s__"
## bASV_20 "g__Roseateles" "s__"
## bASV_21 "g__Sphingomonas" "s__"
## bASV_23 "g__Niastella" "s__"
## bASV_25 "g__Massilia" "s__"
## bASV_27 "g__Acidovorax" "s__"
## bASV_29 "g__Devosia" "s__"
## bASV_30 "g__Caulobacter" "s__"
## bASV_31 NA NA
## bASV_32 "g__Massilia" "s__"
## bASV_33 "g__Pseudomonas" "s__"
## bASV_34 "g__Acidovorax" "s__"
## bASV_35 "g__Massilia" "s__"
## bASV_36 "g__Niastella" "s__"
## bASV_37 NA NA
## bASV_38 NA NA
## bASV_39 "g__Niastella" "s__"
## bASV_40 "g__Massilia" "s__"
## bASV_41 "g__Streptomyces" "s__"
## bASV_43 NA NA
## bASV_44 NA NA
## bASV_45 "g__Niastella" "s__"
## bASV_46 NA NA
## bASV_48 "g__Bradyrhizobium" "s__"
## bASV_49 NA NA
## bASV_50 NA NA
## bASV_51 "g__Massilia" "s__"
## bASV_52 "g__Streptomyces" "s__"
## bASV_53 "g__Mesorhizobium" "s__"
## bASV_54 NA NA
## bASV_55 "g__Streptomyces" "s__"
## bASV_56 "g__Massilia" "s__"
## bASV_57 NA NA
## bASV_58 NA NA
## bASV_59 NA NA
## bASV_60 "g__Porphyrobacter" "s__"
## bASV_61 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_62 "g__Sphingomonas" "s__"
## bASV_63 NA NA
## bASV_64 "g__Chryseolinea" "s__"
## bASV_65 "g__Massilia" "s__"
## bASV_66 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_67 "g__Bosea" "s__"
## bASV_68 NA NA
## bASV_69 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_70 "g__Niastella" "s__"
## bASV_71 "g__Dyella" "s__"
## bASV_72 "g__Rhizobacter" "s__"
## bASV_73 "g__Phenylobacterium" "s__"
## bASV_74 "g__Niastella" "s__"
## bASV_75 "g__Massilia" "s__"
## bASV_76 "g__Asticcacaulis" "s__"
## bASV_77 "g__Rhizobacter" "s__"
## bASV_78 NA NA
## bASV_79 "g__Massilia" "s__"
## bASV_80 "g__Luteimonas" "s__"
## bASV_81 NA NA
## bASV_82 "g__Streptomyces" "s__"
## bASV_83 "g__Massilia" "s__"
## bASV_84 "g__Methylotenera" "s__"
## bASV_85 NA NA
## bASV_86 "g__Massilia" "s__"
## bASV_87 "g__uncultured" "s__"
## bASV_88 NA NA
## bASV_89 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_90 "g__Dyella" "s__"
## bASV_91 "g__Lysobacter" "s__"
## bASV_92 "g__Massilia" "s__"
## bASV_93 NA NA
## bASV_94 "g__Massilia" "s__"
## bASV_95 "g__Rubrivivax" "s__"
## bASV_96 NA NA
## bASV_97 "g__Pelomonas" "s__"
## bASV_98 "g__uncultured" "s__"
## bASV_99 "g__Dokdonella" "s__"
## bASV_100 "g__Phenylobacterium" "s__"
## bASV_101 "g__Pseudomonas" "s__"
## bASV_102 "g__Niastella" "s__"
## bASV_103 "g__Phenylobacterium" "s__"
## bASV_104 "g__Oxalicibacterium" "s__"
## bASV_105 "g__Pelomonas" "s__"
## bASV_106 "g__Lysobacter" "s__"
## bASV_107 "g__Parablastomonas" "s__"
## bASV_108 "g__Niastella" "s__"
## bASV_109 "g__Niastella" "s__"
## bASV_110 "g__Ellin6055" "s__"
## bASV_111 "g__Neorhizobium" "s__"
## bASV_112 "g__Pseudoduganella" "s__"
## bASV_113 NA NA
## bASV_114 "g__Sphingomonas" "s__"
## bASV_115 "g__Brevundimonas" "s__"
## bASV_116 "g__Lysobacter" "s__"
## bASV_117 "g__Pseudoduganella" "s__"
## bASV_118 "g__uncultured" "s__"
## bASV_119 "g__Massilia" "s__"
## bASV_120 "g__Gemmatimonas" "s__"
## bASV_121 "g__Amycolatopsis" "s__"
## bASV_122 "g__Luteimonas" "s__"
## bASV_123 "g__Niastella" "s__"
## bASV_124 "g__Aeromicrobium" "s__"
## bASV_125 "g__uncultured" "s__"
## bASV_126 NA NA
## bASV_128 "g__Nannocystis" "s__"
## bASV_129 NA NA
## bASV_131 "g__Comamonas" "s__"
## bASV_132 "g__Lysobacter" "s__"
## bASV_133 "g__Pseudolabrys" "s__"
## bASV_134 NA NA
## bASV_135 "g__Sphingomonas" "s__"
## bASV_136 "g__Massilia" "s__"
## bASV_137 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_138 "g__Bryobacter" "s__"
## bASV_139 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_140 NA NA
## bASV_141 "g__Brevundimonas" "s__"
## bASV_142 "g__Lysobacter" "s__"
## bASV_143 "g__Ideonella" "s__"
## bASV_144 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_145 "g__Massilia" "s__"
## bASV_146 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_147 "g__Novosphingobium" "s__"
## bASV_148 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_149 NA NA
## bASV_151 "g__Noviherbaspirillum" "s__"
## bASV_152 "g__Sphingomonas" "s__"
## bASV_153 "g__Massilia" "s__"
## bASV_154 "g__Fluviicola" "s__"
## bASV_155 NA NA
## bASV_156 "g__Massilia" "s__"
## bASV_158 NA NA
## bASV_159 "g__Pedobacter" "s__"
## bASV_160 "g__Sphingomonas" "s__"
## bASV_161 "g__Sphingopyxis" "s__"
## bASV_162 "g__Phenylobacterium" "s__"
## bASV_163 "g__Sphingomonas" "s__"
## bASV_164 "g__Lysobacter" "s__"
## bASV_165 "g__MSB-4B10" "s__"
## bASV_166 NA NA
## bASV_168 NA NA
## bASV_169 "g__Niastella" "s__"
## bASV_170 "g__Azospirillum" "s__"
## bASV_171 "g__RB41" "s__"
## bASV_173 "g__Mesorhizobium" "s__"
## bASV_174 "g__Variovorax" "s__"
## bASV_175 NA NA
## bASV_176 "g__Rokubacteriales" "s__"
## bASV_177 "g__Fimbriimonadaceae" "s__"
## bASV_178 "g__Caulobacter" "s__"
## bASV_180 "g__Sphingomonas" "s__"
## bASV_181 "g__Kribbella" "s__"
## bASV_182 "g__Steroidobacter" "s__"
## bASV_183 NA NA
## bASV_184 "g__Candidatus_Udaeobacter" "s__"
## bASV_185 "g__uncultured" "s__"
## bASV_186 "g__Noviherbaspirillum" "s__"
## bASV_187 "g__Altererythrobacter" "s__"
## bASV_188 "g__Arenimonas" "s__"
## bASV_189 "g__Mesorhizobium" "s__"
## bASV_190 "g__Plot4-2H12" "s__"
## bASV_191 NA NA
## bASV_192 "g__Pseudoduganella" "s__"
## bASV_193 "g__Ellin6055" "s__"
## bASV_194 "g__Ellin6055" "s__"
## bASV_195 "g__Nitrosospira" "s__"
## bASV_196 "g__Dokdonella" "s__"
## bASV_197 "g__Luteolibacter" "s__"
## bASV_198 "g__WD2101_soil_group" "s__"
## bASV_199 "g__Massilia" "s__"
## bASV_200 "g__Gemmatimonas" "s__"
## bASV_201 NA NA
## bASV_202 "g__Lysobacter" "s__"
## bASV_203 "g__Chryseolinea" "s__"
## bASV_204 "g__TM7a" "s__"
## bASV_205 "g__Lysobacter" "s__"
## bASV_206 "g__Sphingomonas" "s__"
## bASV_207 NA NA
## bASV_209 "g__Chthoniobacter" "s__"
## bASV_211 "g__Brevundimonas" "s__"
## bASV_212 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_213 "g__Massilia" "s__"
## bASV_214 "g__uncultured" "s__"
## bASV_215 "g__Phycicoccus" "s__"
## bASV_216 "g__Pedobacter" "s__"
## bASV_217 "g__Stenotrophomonas" "s__"
## bASV_218 "g__Ideonella" "s__"
## bASV_219 NA NA
## bASV_220 "g__Rhizobacter" "s__"
## bASV_221 "g__Mucilaginibacter" "s__"
## bASV_222 "g__Terrabacter" "s__"
## bASV_223 NA NA
## bASV_224 "g__Rhizobacter" "s__"
## bASV_225 "g__Dyadobacter" "s__"
## bASV_226 NA NA
## bASV_227 "g__Subgroup_7" "s__"
## bASV_228 "g__Lysobacter" "s__"
## bASV_229 "g__uncultured" "s__"
## bASV_230 "g__Variovorax" "s__"
## bASV_231 "g__Novosphingobium" "s__"
## bASV_232 "g__Massilia" "s__"
## bASV_233 "g__Niastella" "s__"
## bASV_234 NA NA
## bASV_235 "g__Lysobacter" "s__"
## bASV_237 "g__SC-I-84" "s__"
## bASV_238 "g__Sphingomonas" "s__"
## bASV_240 "g__WD2101_soil_group" "s__"
## bASV_241 "g__Saccharothrix" "s__"
## bASV_242 "g__Niastella" "s__"
## bASV_243 NA NA
## bASV_244 NA NA
## bASV_245 "g__Streptomyces" "s__"
## bASV_246 "g__Streptomyces" "s__"
## bASV_247 "g__Niastella" "s__"
## bASV_249 "g__Catellatospora" "s__"
## bASV_250 "g__Pseudoduganella" "s__"
## bASV_251 "g__Sphingomonas" "s__"
## bASV_252 "g__Sphingomonas" "s__"
## bASV_253 "g__Massilia" "s__"
## bASV_254 NA NA
## bASV_255 NA NA
## bASV_256 "g__Ellin6055" "s__"
## bASV_257 NA NA
## bASV_258 "g__Massilia" "s__"
## bASV_259 "g__Herpetosiphon" "s__"
## bASV_260 "g__SC-I-84" "s__"
## bASV_261 "g__uncultured" "s__"
## bASV_262 "g__Porphyrobacter" "s__"
## bASV_263 "g__Chryseolinea" "s__"
## bASV_264 NA NA
## bASV_265 "g__uncultured" "s__"
## bASV_266 "g__Ramlibacter" "s__"
## bASV_268 "g__Niastella" "s__"
## bASV_269 "g__Massilia" "s__"
## bASV_270 "g__Steroidobacter" "s__"
## bASV_271 "g__Reyranella" "s__"
## bASV_272 "g__Gemmatimonas" "s__"
## bASV_273 NA NA
## bASV_274 "g__Massilia" "s__"
## bASV_275 "g__Gitt-GS-136" "s__"
## bASV_276 NA NA
## bASV_277 NA NA
## bASV_278 NA NA
## bASV_279 "g__Gemmatimonas" "s__"
## bASV_280 "g__Niastella" "s__"
## bASV_281 "g__uncultured" "s__"
## bASV_282 "g__uncultured" "s__"
## bASV_283 "g__Phenylobacterium" "s__"
## bASV_285 "g__Massilia" "s__"
## bASV_286 "g__Bosea" "s__"
## bASV_288 "g__Dyella" "s__"
## bASV_289 "g__Massilia" "s__"
## bASV_290 "g__Achromobacter" "s__"
## bASV_291 "g__Lechevalieria" "s__"
## bASV_292 "g__Bacillus" "s__"
## bASV_293 "g__Massilia" "s__"
## bASV_294 NA NA
## bASV_295 "g__Rhizobacter" "s__"
## bASV_297 "g__Asticcacaulis" "s__"
## bASV_298 NA NA
## bASV_299 "g__JGI_0001001-H03" "s__"
## bASV_300 "g__Massilia" "s__"
## bASV_302 "g__Massilia" "s__"
## bASV_303 "g__TM7a" "s__"
## bASV_304 "g__Nitrospira" "s__"
## bASV_305 "g__Lysobacter" "s__"
## bASV_306 NA NA
## bASV_307 "g__A21b" "s__"
## bASV_308 "g__Massilia" "s__"
## bASV_309 "g__Rhodoferax" "s__"
## bASV_310 "g__Asticcacaulis" "s__"
## bASV_312 NA NA
## bASV_313 "g__Luteolibacter" "s__"
## bASV_314 "g__Rhizobacter" "s__"
## bASV_315 "g__Hyphomicrobium" "s__"
## bASV_316 "g__uncultured" "s__"
## bASV_317 "g__Sphingomonas" "s__"
## bASV_318 "g__Sphingomonas" "s__"
## bASV_319 "g__Acidibacter" "s__"
## bASV_321 "g__Ellin6055" "s__"
## bASV_322 "g__Lysobacter" "s__"
## bASV_323 "g__Pedobacter" "s__"
## bASV_324 "g__Dyadobacter" "s__"
## bASV_325 "g__Ralstonia" "s__"
## bASV_326 NA NA
## bASV_327 "g__Lysobacter" "s__"
## bASV_328 "g__Massilia" "s__"
## bASV_330 "g__Niastella" "s__"
## bASV_331 "g__Rhodanobacter" "s__"
## bASV_332 "g__Gemmatimonas" "s__"
## bASV_333 "g__Emticicia" "s__"
## bASV_334 "g__Pedobacter" "s__"
## bASV_335 "g__Marmoricola" "s__"
## bASV_336 "g__Massilia" "s__"
## bASV_337 "g__Rubrivivax" "s__"
## bASV_339 "g__uncultured" "s__"
## bASV_340 NA NA
## bASV_341 "g__Caenimonas" "s__"
## bASV_342 "g__Acidovorax" "s__"
## bASV_343 "g__Massilia" "s__"
## bASV_345 "g__Chitinophaga" "s__"
## bASV_346 "g__SC-I-84" "s__"
## bASV_347 "g__Cellvibrio" "s__"
## bASV_348 "g__Parablastomonas" "s__"
## bASV_349 NA NA
## bASV_350 "g__Altererythrobacter" "s__"
## bASV_351 NA NA
## bASV_352 "g__Sphingomonas" "s__"
## bASV_353 "g__Asticcacaulis" "s__"
## bASV_354 "g__Niastella" "s__"
## bASV_355 "g__Sphingomonas" "s__"
## bASV_356 "g__Variovorax" "s__"
## bASV_357 "g__Cupriavidus" "s__"
## bASV_358 "g__Arcticibacter" "s__"
## bASV_359 "g__Asticcacaulis" "s__"
## bASV_361 "g__Sphingomonas" "s__"
## bASV_362 "g__SC-I-84" "s__"
## bASV_363 "g__Chryseolinea" "s__"
## bASV_364 "g__uncultured" "s__"
## bASV_365 "g__Niastella" "s__"
## bASV_366 NA NA
## bASV_367 "g__Gemmatimonas" "s__"
## bASV_368 "g__Rhodopseudomonas" "s__"
## bASV_369 "g__Ramlibacter" "s__"
## bASV_370 "g__Saccharimonadales" "s__"
## bASV_371 "g__Luteibacter" "s__"
## bASV_372 "g__Pelomonas" "s__"
## bASV_374 "g__Gemmatimonas" "s__"
## bASV_375 "g__Pseudoduganella" "s__"
## bASV_376 NA NA
## bASV_377 "g__Gitt-GS-136" "s__"
## bASV_378 "g__Gemmatimonas" "s__"
## bASV_379 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_380 "g__uncultured" "s__"
## bASV_381 "g__Pseudoxanthomonas" "s__"
## bASV_382 "g__SC-I-84" "s__"
## bASV_383 NA NA
## bASV_384 NA NA
## bASV_385 "g__Nocardioides" "s__"
## bASV_386 "g__Novosphingobium" "s__"
## bASV_387 "g__Niastella" "s__"
## bASV_388 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_389 "g__Ellin6067" "s__"
## bASV_390 "g__Massilia" "s__"
## bASV_391 "g__Bryobacter" "s__"
## bASV_392 "g__Reyranella" "s__"
## bASV_395 "g__Gemmatimonas" "s__"
## bASV_396 "g__Massilia" "s__"
## bASV_397 "g__uncultured" "s__"
## bASV_399 "g__Caenimonas" "s__"
## bASV_400 "g__Nitrosospira" "s__"
## bASV_401 "g__Tardiphaga" "s__"
## bASV_402 NA NA
## bASV_403 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_404 "g__Caenimonas" "s__"
## bASV_406 "g__Arenimonas" "s__"
## bASV_407 "g__Fimbriimonadaceae" "s__"
## bASV_408 "g__JGI_0001001-H03" "s__"
## bASV_409 "g__Nocardioides" "s__"
## bASV_410 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_411 "g__Rhodanobacter" "s__"
## bASV_412 "g__Ramlibacter" "s__"
## bASV_413 "g__Luteibacter" "s__"
## bASV_414 "g__Pseudomonas" "s__"
## bASV_416 "g__Ellin6067" "s__"
## bASV_417 "g__Methylobacterium-Methylorubrum" "s__"
## bASV_418 "g__Methylobacterium-Methylorubrum" "s__"
## bASV_419 NA NA
## bASV_420 "g__Gaiella" "s__"
## bASV_421 "g__YC-ZSS-LKJ147" "s__"
## bASV_422 "g__Sphingomonas" "s__"
## bASV_423 "g__Duganella" "s__"
## bASV_424 "g__Lysobacter" "s__"
## bASV_425 "g__CL500-29_marine_group" "s__"
## bASV_426 "g__Ellin6055" "s__"
## bASV_427 "g__uncultured" "s__"
## bASV_428 "g__Acidibacter" "s__"
## bASV_429 "g__Niastella" "s__"
## bASV_430 "g__Asticcacaulis" "s__"
## bASV_431 "g__Adhaeribacter" "s__"
## bASV_432 "g__Longimicrobiaceae" "s__"
## bASV_433 "g__Steroidobacter" "s__"
## bASV_434 "g__Marmoricola" "s__"
## bASV_435 "g__Edaphobacter" "s__"
## bASV_436 "g__Adhaeribacter" "s__"
## bASV_438 "g__Bosea" "s__"
## bASV_439 "g__uncultured" "s__"
## bASV_440 "g__SC-I-84" "s__"
## bASV_441 NA NA
## bASV_442 "g__uncultured" "s__"
## bASV_443 "g__uncultured" "s__"
## bASV_446 "g__Altererythrobacter" "s__"
## bASV_447 NA NA
## bASV_448 "g__Niastella" "s__"
## bASV_449 "g__Bosea" "s__"
## bASV_450 "g__Bradyrhizobium" "s__"
## bASV_451 "g__Dongia" "s__"
## bASV_453 "g__Methylotenera" "s__"
## bASV_454 "g__Blastococcus" "s__"
## bASV_455 "g__Pedobacter" "s__"
## bASV_456 "g__Nocardioides" "s__"
## bASV_457 "g__Massilia" "s__"
## bASV_458 "g__Nocardioides" "s__"
## bASV_459 "g__Mucilaginibacter" "s__"
## bASV_460 "g__Nocardioides" "s__"
## bASV_461 "g__Sphingomonas" "s__"
## bASV_462 "g__Sphingomonas" "s__"
## bASV_464 "g__Gemmatimonas" "s__"
## bASV_465 "g__WD2101_soil_group" "s__"
## bASV_466 "g__Saccharothrix" "s__"
## bASV_467 "g__uncultured" "s__"
## bASV_468 "g__Gemmatimonas" "s__"
## bASV_469 "g__MND1" "s__"
## bASV_471 NA NA
## bASV_472 "g__Puia" "s__"
## bASV_474 NA NA
## bASV_476 "g__Polaromonas" "s__"
## bASV_477 NA NA
## bASV_478 "g__Duganella" "s__"
## bASV_479 "g__Lysobacter" "s__"
## bASV_480 "g__Actinocorallia" "s__"
## bASV_481 "g__uncultured" "s__"
## bASV_482 NA NA
## bASV_483 "g__Phycicoccus" "s__"
## bASV_484 "g__Ramlibacter" "s__"
## bASV_485 "g__Massilia" "s__"
## bASV_486 "g__Niastella" "s__"
## bASV_487 "g__Massilia" "s__"
## bASV_488 "g__Frateuria" "s__"
## bASV_489 "g__Mycobacterium" "s__"
## bASV_490 "g__Lysobacter" "s__"
## bASV_491 NA NA
## bASV_492 "g__uncultured" "s__"
## bASV_493 "g__Flavobacterium" "s__"
## bASV_494 "g__uncultured" "s__"
## bASV_495 "g__Rhizobacter" "s__"
## bASV_496 "g__Acidibacter" "s__"
## bASV_498 "g__RB41" "s__"
## bASV_499 "g__Rhizorhapis" "s__"
## bASV_500 "g__uncultured" "s__"
## bASV_501 "g__Candidatus_Solibacter" "s__"
## bASV_503 "g__JGI_0001001-H03" "s__"
## bASV_504 "g__Pseudoxanthomonas" "s__"
## bASV_505 "g__Marmoricola" "s__"
## bASV_506 "g__Sphingobium" "s__"
## bASV_507 NA NA
## bASV_508 "g__Dongia" "s__"
## bASV_509 "g__Dongia" "s__"
## bASV_510 "g__Qipengyuania" "s__"
## bASV_511 "g__Methylotenera" "s__"
## bASV_512 "g__Cellvibrio" "s__"
## bASV_513 "g__JGI_0001001-H03" "s__"
## bASV_514 NA NA
## bASV_515 "g__Phenylobacterium" "s__"
## bASV_516 "g__Reyranella" "s__"
## bASV_517 "g__Flavobacterium" "s__"
## bASV_518 "g__Curvibacter" "s__"
## bASV_519 "g__Bryobacter" "s__"
## bASV_520 "g__Gemmatimonas" "s__"
## bASV_521 "g__Rhizobacter" "s__"
## bASV_522 "g__Niastella" "s__"
## bASV_524 "g__Novosphingobium" "s__"
## bASV_525 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_526 "g__uncultured" "s__"
## bASV_527 "g__IMCC26256" "s__"
## bASV_528 "g__Caenimonas" "s__"
## bASV_529 "g__Massilia" "s__"
## bASV_530 "g__IMCC26256" "s__"
## bASV_531 "g__uncultured" "s__"
## bASV_533 "g__Chryseobacterium" "s__"
## bASV_534 "g__uncultured" "s__"
## bASV_535 "g__Flavobacterium" "s__"
## bASV_536 "g__Nocardioides" "s__"
## bASV_537 "g__Ramlibacter" "s__"
## bASV_539 "g__Rubrivivax" "s__"
## bASV_540 NA NA
## bASV_541 "g__Sphingomonas" "s__"
## bASV_542 "g__Glycomyces" "s__"
## bASV_546 "g__uncultured" "s__"
## bASV_547 "g__Pedobacter" "s__"
## bASV_548 "g__Lysobacter" "s__"
## bASV_549 "g__Gemmatimonas" "s__"
## bASV_550 "g__uncultured" "s__"
## bASV_551 "g__RB41" "s__"
## bASV_552 "g__Dokdonella" "s__"
## bASV_553 "g__Arcticibacter" "s__"
## bASV_554 "g__Nonomuraea" "s__"
## bASV_556 "g__Marmoricola" "s__"
## bASV_557 "g__Arenimonas" "s__"
## bASV_558 "g__Dinghuibacter" "s__"
## bASV_561 "g__Dokdonella" "s__"
## bASV_562 "g__Phenylobacterium" "s__"
## bASV_563 NA NA
## bASV_564 "g__Chitinophaga" "s__"
## bASV_565 "g__Sphingomonas" "s__"
## bASV_567 "g__uncultured" "s__"
## bASV_569 "g__Flavobacterium" "s__"
## bASV_570 "g__uncultured" "s__"
## bASV_571 "g__IMCC26256" "s__"
## bASV_572 "g__Sphingomonas" "s__"
## bASV_573 "g__Labrys" "s__"
## bASV_574 "g__uncultured" "s__"
## bASV_575 "g__WD2101_soil_group" "s__"
## bASV_576 "g__uncultured" "s__"
## bASV_577 "g__Gemmatimonas" "s__"
## bASV_578 "g__Candidatus_Solibacter" "s__"
## bASV_579 "g__KD4-96" "s__"
## bASV_580 "g__SC-I-84" "s__"
## bASV_581 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_582 "g__Rokubacteriales" "s__"
## bASV_583 "g__Candidatus_Solibacter" "s__"
## bASV_584 "g__Asticcacaulis" "s__"
## bASV_585 "g__uncultured" "s__"
## bASV_586 "g__WD2101_soil_group" "s__"
## bASV_587 NA NA
## bASV_590 "g__Massilia" "s__"
## bASV_591 "g__uncultured" "s__"
## bASV_592 "g__Cupriavidus" "s__"
## bASV_593 "g__Amycolatopsis" "s__"
## bASV_595 "g__uncultured" "s__"
## bASV_596 "g__Dyella" "s__"
## bASV_597 "g__Acidibacter" "s__"
## bASV_598 "g__Phycicoccus" "s__"
## bASV_599 NA NA
## bASV_600 "g__Mucilaginibacter" "s__"
## bASV_601 "g__WD2101_soil_group" "s__"
## bASV_602 "g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium" "s__"
## bASV_603 NA NA
## bASV_604 "g__WD2101_soil_group" "s__"
## bASV_605 NA NA
## bASV_606 "g__Rhizobacter" "s__"
## bASV_607 "g__Gemmatimonas" "s__"
## bASV_609 "g__Subgroup_7" "s__"
## bASV_611 "g__Sphingomonas" "s__"
## bASV_612 "g__Vicinamibacteraceae" "s__"
## bASV_613 "g__Gemmatimonas" "s__"
## bASV_614 "g__Kribbella" "s__"
## bASV_615 "g__Massilia" "s__"
## bASV_616 "g__Gaiella" "s__"
## bASV_617 NA NA
## bASV_619 "g__SC-I-84" "s__"
## bASV_621 "g__Hyphomicrobium" "s__"
## bASV_622 "g__Subgroup_7" "s__"
## bASV_623 NA NA
## bASV_624 "g__Altererythrobacter" "s__"
## bASV_625 NA NA
## bASV_626 NA NA
## bASV_627 "g__Massilia" "s__"
## bASV_628 "g__Chitinophaga" "s__"
## bASV_629 "g__uncultured" "s__"
## bASV_632 "g__uncultured" "s__"
## bASV_635 NA NA
## bASV_636 "g__Pseudoxanthomonas" "s__"
## bASV_637 "g__Gemmatimonas" "s__"
## bASV_638 "g__Haliangium" "s__"
## bASV_639 "g__Altererythrobacter" "s__"
## bASV_640 "g__Massilia" "s__"
## bASV_641 "g__Bradyrhizobium" "s__"
## bASV_642 NA NA
## bASV_643 "g__RB41" "s__"
## bASV_645 "g__Phenylobacterium" "s__"
## bASV_646 "g__Massilia" "s__"
## bASV_647 "g__Ellin6055" "s__"
## bASV_648 "g__RB41" "s__"
## bASV_649 "g__Candidatus_Udaeobacter" "s__"
## bASV_650 "g__Rhodoferax" "s__"
## bASV_651 "g__Mucilaginibacter" "s__"
## bASV_652 "g__Lysobacter" "s__"
## bASV_653 "g__Gemmatimonas" "s__"
## bASV_654 "g__Dongia" "s__"
## bASV_655 "g__Flavobacterium" "s__"
## bASV_657 "g__Pseudoduganella" "s__"
## bASV_658 "g__Paenarthrobacter" "s__"
## bASV_659 "g__67-14" "s__"
## bASV_660 "g__uncultured" "s__"
## bASV_661 "g__IMCC26256" "s__"
## bASV_662 "g__SC-I-84" "s__"
## bASV_663 "g__Pseudoduganella" "s__"
## bASV_664 "g__uncultured" "s__"
## bASV_665 NA NA
## bASV_666 "g__Gemmatimonas" "s__"
## bASV_667 "g__MB-A2-108" "s__"
## bASV_668 "g__PLTA13" "s__"
## bASV_669 "g__Ramlibacter" "s__"
## bASV_670 "g__Subgroup_17" "s__"
## bASV_672 "g__Caenimonas" "s__"
## bASV_674 "g__WD2101_soil_group" "s__"
## bASV_675 "g__uncultured" "s__"
## bASV_676 NA NA
## bASV_677 "g__Massilia" "s__"
## bASV_678 NA NA
## bASV_682 "g__Brevundimonas" "s__"
## bASV_683 "g__Glycomyces" "s__"
## bASV_684 "g__Paenibacillus" "s__"
## bASV_687 "g__uncultured" "s__"
## bASV_688 "g__Acidibacter" "s__"
## bASV_691 "g__Subgroup_2" "s__"
## bASV_692 "g__AD3" "s__"
## bASV_693 "g__uncultured" "s__"
## bASV_694 "g__Rhizobacter" "s__"
## bASV_695 "g__Nocardioides" "s__"
## bASV_696 NA NA
## bASV_698 "g__Alsobacter" "s__"
## bASV_699 "g__KD4-96" "s__"
## bASV_700 "g__Roseisolibacter" "s__"
## bASV_701 "g__Rivibacter" "s__"
## bASV_702 "g__uncultured" "s__"
## bASV_703 "g__Aquabacterium" "s__"
## bASV_704 "g__uncultured" "s__"
## bASV_705 "g__Aeromicrobium" "s__"
## bASV_706 "g__Edaphobaculum" "s__"
## bASV_707 "g__Vicinamibacteraceae" "s__"
## bASV_708 "g__Pedobacter" "s__"
## bASV_709 "g__Acidibacter" "s__"
## bASV_711 "g__Nocardioides" "s__"
## bASV_712 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_713 "g__uncultured" "s__"
## bASV_714 "g__uncultured" "s__"
## bASV_715 "g__Pseudonocardia" "s__"
## bASV_716 "g__SC-I-84" "s__"
## bASV_717 "g__Niastella" "s__"
## bASV_719 "g__Cohnella" "s__"
## bASV_720 "g__uncultured" "s__"
## bASV_721 "g__uncultured" "s__"
## bASV_722 NA NA
## bASV_724 "g__Flavobacterium" "s__"
## bASV_725 "g__Candidatus_Udaeobacter" "s__"
## bASV_726 "g__IMCC26256" "s__"
## bASV_728 "g__Sphingomonas" "s__"
## bASV_729 "g__Lysobacter" "s__"
## bASV_730 "g__Massilia" "s__"
## bASV_731 "g__Duganella" "s__"
## bASV_732 "g__Candidatus_Udaeobacter" "s__"
## bASV_733 "g__Candidatus_Udaeobacter" "s__"
## bASV_735 "g__Fimbriimonadaceae" "s__"
## bASV_736 "g__Nitrospira" "s__"
## bASV_737 "g__uncultured" "s__"
## bASV_738 "g__Rhodoplanes" "s__"
## bASV_739 "g__Paenibacillus" "s__"
## bASV_740 "g__uncultured" "s__"
## bASV_741 "g__uncultured" "s__"
## bASV_743 "g__Niastella" "s__"
## bASV_744 "g__Pelomonas" "s__"
## bASV_745 NA NA
## bASV_746 NA NA
## bASV_747 "g__uncultured" "s__"
## bASV_749 "g__Hyphomicrobium" "s__"
## bASV_752 "g__Sphingomonas" "s__"
## bASV_753 "g__Vicinamibacteraceae" "s__"
## bASV_754 "g__Massilia" "s__"
## bASV_755 NA NA
## bASV_756 "g__Massilia" "s__"
## bASV_757 "g__Asticcacaulis" "s__"
## bASV_758 "g__BIrii41" "s__"
## bASV_759 "g__Pedomicrobium" "s__"
## bASV_760 "g__Sphingobium" "s__"
## bASV_761 "g__uncultured" "s__"
## bASV_762 "g__Subgroup_7" "s__"
## bASV_763 "g__WD2101_soil_group" "s__"
## bASV_764 "g__uncultured" "s__"
## bASV_766 "g__Sphingomonas" "s__"
## bASV_767 "g__Lacunisphaera" "s__"
## bASV_769 "g__Subgroup_7" "s__"
## bASV_770 "g__uncultured" "s__"
## bASV_771 NA NA
## bASV_772 "g__Piscinibacter" "s__"
## bASV_773 NA NA
## bASV_776 "g__mle1-27" "s__"
## bASV_777 "g__Nitrospira" "s__"
## bASV_780 "g__[Aquaspirillum]_arcticum_group" "s__"
## bASV_782 "g__Nocardioides" "s__"
## bASV_784 "g__Dokdonella" "s__"
## bASV_785 "g__Massilia" "s__"
## bASV_786 "g__Caenimonas" "s__"
## bASV_787 "g__Flavisolibacter" "s__"
## bASV_788 "g__Lechevalieria" "s__"
## bASV_789 "g__Achromobacter" "s__"
## bASV_791 "g__Pedosphaeraceae" "s__"
## bASV_792 "g__Caenimonas" "s__"
## bASV_793 "g__Niastella" "s__"
## bASV_794 "g__Ellin6067" "s__"
## bASV_795 "g__uncultured" "s__"
## bASV_797 NA NA
## bASV_798 "g__Sphingomonas" "s__"
## bASV_799 "g__C0119" "s__"
## bASV_800 "g__Roseisolibacter" "s__"
## bASV_801 NA NA
## bASV_803 "g__Flavisolibacter" "s__"
## bASV_804 "g__Massilia" "s__"
## bASV_805 "g__Duganella" "s__"
## bASV_806 "g__Flavisolibacter" "s__"
## bASV_807 "g__RB41" "s__"
## bASV_808 "g__KD4-96" "s__"
## bASV_809 "g__Bacillus" "s__"
## bASV_810 "g__Sorangium" "s__"
## bASV_812 "g__Pseudoflavitalea" "s__"
## bASV_813 "g__Altererythrobacter" "s__"
## bASV_814 "g__Bradyrhizobium" "s__"
## bASV_816 "g__Acidibacter" "s__"
## bASV_817 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_819 "g__Kribbella" "s__"
## bASV_820 "g__Ellin6067" "s__"
## bASV_821 "g__uncultured" "s__"
## bASV_822 "g__uncultured" "s__"
## bASV_823 "g__Roseisolibacter" "s__"
## bASV_824 "g__Nocardioides" "s__"
## bASV_825 "g__Massilia" "s__"
## bASV_826 "g__A21b" "s__"
## bASV_827 "g__Arenimonas" "s__"
## bASV_828 "g__Duganella" "s__"
## bASV_829 "g__Micropepsaceae" "s__"
## bASV_830 "g__Subgroup_17" "s__"
## bASV_831 "g__Ramlibacter" "s__"
## bASV_832 "g__Arenimonas" "s__"
## bASV_833 "g__Candidatus_Udaeobacter" "s__"
## bASV_835 "g__Ellin6055" "s__"
## bASV_836 "g__Massilia" "s__"
## bASV_837 "g__RB41" "s__"
## bASV_838 "g__Lysobacter" "s__"
## bASV_840 "g__uncultured" "s__"
## bASV_841 "g__Massilia" "s__"
## bASV_842 "g__Adhaeribacter" "s__"
## bASV_843 "g__Pseudoduganella" "s__"
## bASV_844 "g__MND1" "s__"
## bASV_845 NA NA
## bASV_846 NA NA
## bASV_847 NA NA
## bASV_848 "g__Chryseolinea" "s__"
## bASV_849 "g__uncultured" "s__"
## bASV_851 "g__Chryseobacterium" "s__"
## bASV_854 "g__Massilia" "s__"
## bASV_855 "g__Roseiarcus" "s__"
## bASV_856 "g__uncultured" "s__"
## bASV_857 "g__Ellin6067" "s__"
## bASV_858 "g__Flavisolibacter" "s__"
## bASV_859 "g__Asticcacaulis" "s__"
## bASV_860 "g__SC-I-84" "s__"
## bASV_861 NA NA
## bASV_865 "g__Gemmatimonas" "s__"
## bASV_866 NA NA
## bASV_867 "g__WD2101_soil_group" "s__"
## bASV_868 "g__SC-I-84" "s__"
## bASV_869 "g__RB41" "s__"
## bASV_870 "g__Dechloromonas" "s__"
## bASV_871 "g__Paenibacillus" "s__"
## bASV_874 "g__Opitutus" "s__"
## bASV_875 "g__Lysobacter" "s__"
## bASV_876 "g__Noviherbaspirillum" "s__"
## bASV_877 "g__uncultured" "s__"
## bASV_878 "g__SC-I-84" "s__"
## bASV_879 NA NA
## bASV_880 "g__SC-I-84" "s__"
## bASV_882 "g__Ellin6067" "s__"
## bASV_883 NA NA
## bASV_885 "g__uncultured" "s__"
## bASV_886 "g__Deinococcus" "s__"
## bASV_887 "g__uncultured" "s__"
## bASV_888 NA NA
## bASV_890 "g__uncultured" "s__"
## bASV_891 "g__P3OB-42" "s__"
## bASV_892 "g__Niastella" "s__"
## bASV_893 "g__A21b" "s__"
## bASV_895 "g__uncultured" "s__"
## bASV_896 "g__11-24" "s__"
## bASV_897 "g__uncultured" "s__"
## bASV_898 "g__uncultured" "s__"
## bASV_901 "g__Flavitalea" "s__"
## bASV_902 "g__uncultured" "s__"
## bASV_903 "g__Gemmata" "s__"
## bASV_904 "g__Flavobacterium" "s__"
## bASV_905 "g__Pseudonocardia" "s__"
## bASV_906 "g__uncultured" "s__"
## bASV_907 "g__Pseudomonas" "s__"
## bASV_908 "g__Phenylobacterium" "s__"
## bASV_909 "g__Massilia" "s__"
## bASV_910 "g__uncultured" "s__"
## bASV_911 "g__Ideonella" "s__"
## bASV_912 "g__Rhodoplanes" "s__"
## bASV_914 "g__Massilia" "s__"
## bASV_915 "g__Acidovorax" "s__"
## bASV_916 NA NA
## bASV_917 "g__uncultured" "s__"
## bASV_918 "g__Flavobacterium" "s__"
## bASV_920 "g__Gemmatimonas" "s__"
## bASV_921 NA NA
## bASV_922 NA NA
## bASV_923 "g__Dactylosporangium" "s__"
## bASV_924 "g__WD2101_soil_group" "s__"
## bASV_925 NA NA
## bASV_926 "g__uncultured" "s__"
## bASV_928 "g__Steroidobacter" "s__"
## bASV_930 "g__Arenimonas" "s__"
## bASV_931 "g__Candidatus_Solibacter" "s__"
## bASV_933 NA NA
## bASV_934 "g__uncultured" "s__"
## bASV_935 "g__Chthoniobacter" "s__"
## bASV_936 "g__Tepidisphaera" "s__"
## bASV_937 "g__Fluviicola" "s__"
## bASV_939 "g__Rhodoplanes" "s__"
## bASV_940 "g__Rhodoplanes" "s__"
## bASV_941 "g__SC-I-84" "s__"
## bASV_945 "g__Ellin6055" "s__"
## bASV_946 NA NA
## bASV_947 NA NA
## bASV_948 "g__Massilia" "s__"
## bASV_949 "g__Achromobacter" "s__"
## bASV_950 "g__Bryobacter" "s__"
## bASV_951 "g__Nordella" "s__"
## bASV_952 "g__Flectobacillus" "s__"
## bASV_953 "g__TM7a" "s__"
## bASV_954 "g__Ellin6067" "s__"
## bASV_955 "g__Bauldia" "s__"
## bASV_956 "g__uncultured" "s__"
## bASV_958 "g__uncultured" "s__"
## bASV_959 "g__IMCC26256" "s__"
## bASV_960 "g__SC-I-84" "s__"
## bASV_961 "g__Candidatus_Solibacter" "s__"
## bASV_963 "g__Gemmatimonas" "s__"
## bASV_964 "g__BIrii41" "s__"
## bASV_966 "g__C0119" "s__"
## bASV_969 "g__uncultured" "s__"
## bASV_972 "g__Caulobacter" "s__"
## bASV_973 "g__WD2101_soil_group" "s__"
## bASV_974 "g__uncultured" "s__"
## bASV_975 "g__Niastella" "s__"
## bASV_976 "g__Ellin6067" "s__"
## bASV_977 "g__Subgroup_7" "s__"
## bASV_979 "g__Pedosphaeraceae" "s__"
## bASV_980 NA NA
## bASV_981 "g__Vicinamibacteraceae" "s__"
## bASV_982 "g__Arenimonas" "s__"
## bASV_983 "g__RB41" "s__"
## bASV_984 "g__Alsobacter" "s__"
## bASV_986 "g__Arenimonas" "s__"
## bASV_988 "g__Candidatus_Solibacter" "s__"
## bASV_989 "g__Caenimonas" "s__"
## bASV_990 "g__Microvirga" "s__"
## bASV_991 "g__uncultured" "s__"
## bASV_992 "g__uncultured" "s__"
## bASV_994 "g__Taibaiella" "s__"
## bASV_995 "g__uncultured" "s__"
## bASV_996 "g__Arenimonas" "s__"
## bASV_998 "g__uncultured" "s__"
## bASV_999 "g__Massilia" "s__"
## bASV_1001 "g__Pseudolabrys" "s__"
## bASV_1003 "g__uncultured" "s__"
## bASV_1005 "g__Gemmatimonas" "s__"
## bASV_1006 "g__Rokubacteriales" "s__"
## bASV_1007 NA NA
## bASV_1008 NA NA
## bASV_1010 "g__Gemmatimonas" "s__"
## bASV_1011 "g__Saccharothrix" "s__"
## bASV_1012 "g__Iamia" "s__"
## bASV_1013 "g__uncultured" "s__"
## bASV_1014 "g__Dokdonella" "s__"
## bASV_1015 "g__Bacillus" "s__"
## bASV_1016 "g__Gemmatimonas" "s__"
## bASV_1017 "g__Ferruginibacter" "s__"
## bASV_1018 "g__uncultured" "s__"
## bASV_1019 "g__Luteolibacter" "s__"
## bASV_1020 "g__WD2101_soil_group" "s__"
## bASV_1021 "g__A21b" "s__"
## bASV_1022 "g__Vicinamibacter" "s__"
## bASV_1027 "g__Arenimonas" "s__"
## bASV_1028 "g__WD2101_soil_group" "s__"
## bASV_1029 "g__Rhizobacter" "s__"
## bASV_1030 "g__Tahibacter" "s__"
## bASV_1031 "g__Blastococcus" "s__"
## bASV_1032 NA NA
## bASV_1033 "g__uncultured" "s__"
## bASV_1034 "g__Saccharimonadales" "s__"
## bASV_1035 "g__Pedobacter" "s__"
## bASV_1037 "g__Flavisolibacter" "s__"
## bASV_1038 "g__Cohnella" "s__"
## bASV_1039 "g__Luteolibacter" "s__"
## bASV_1041 "g__uncultured" "s__"
## bASV_1042 "g__Rhizobacter" "s__"
## bASV_1045 NA NA
## bASV_1046 "g__Dokdonella" "s__"
## bASV_1047 "g__Ellin6067" "s__"
## bASV_1048 "g__Massilia" "s__"
## bASV_1049 "g__WD2101_soil_group" "s__"
## bASV_1052 "g__JG30-KF-AS9" "s__"
## bASV_1054 "g__Fluviicola" "s__"
## bASV_1055 "g__Blfdi19" "s__"
## bASV_1056 "g__Nocardioides" "s__"
## bASV_1057 "g__Puia" "s__"
## bASV_1058 "g__Afipia" "s__"
## bASV_1059 "g__Candidatus_Solibacter" "s__"
## bASV_1060 "g__TM7a" "s__"
## bASV_1061 "g__uncultured" "s__"
## bASV_1062 NA NA
## bASV_1064 "g__SC-I-84" "s__"
## bASV_1066 "g__uncultured" "s__"
## bASV_1067 "g__Dongia" "s__"
## bASV_1068 "g__Glycomyces" "s__"
## bASV_1070 "g__Ellin6067" "s__"
## bASV_1071 "g__SWB02" "s__"
## bASV_1072 "g__Duganella" "s__"
## bASV_1073 "g__Massilia" "s__"
## bASV_1074 "g__Nocardioides" "s__"
## bASV_1075 "g__Candidatus_Solibacter" "s__"
## bASV_1077 "g__Massilia" "s__"
## bASV_1078 "g__uncultured" "s__"
## bASV_1079 "g__BIrii41" "s__"
## bASV_1080 "g__Pseudomonas" "s__"
## bASV_1081 "g__Subgroup_7" "s__"
## bASV_1082 "g__uncultured" "s__"
## bASV_1083 "g__Haliangium" "s__"
## bASV_1084 "g__Lysobacter" "s__"
## bASV_1085 "g__Vampirovibrio" "s__"
## bASV_1086 "g__uncultured" "s__"
## bASV_1087 "g__Gemmatimonas" "s__"
## bASV_1088 "g__Terrabacter" "s__"
## bASV_1089 "g__uncultured" "s__"
## bASV_1090 "g__Ramlibacter" "s__"
## bASV_1091 "g__uncultured" "s__"
## bASV_1092 "g__Nitrospira" "s__"
## bASV_1094 "g__Luteolibacter" "s__"
## bASV_1095 "g__Roseomonas" "s__"
## bASV_1096 "g__Rhodanobacter" "s__"
## bASV_1098 "g__Edaphobaculum" "s__"
## bASV_1099 NA NA
## bASV_1102 "g__Burkholderia-Caballeronia-Paraburkholderia" "s__"
## bASV_1103 "g__Ramlibacter" "s__"
## bASV_1105 "g__Tepidisphaeraceae" "s__"
## bASV_1107 "g__Adhaeribacter" "s__"
## bASV_1108 "g__Opitutus" "s__"
## bASV_1109 "g__Caenimonas" "s__"
## bASV_1110 "g__Mucilaginibacter" "s__"
## bASV_1111 "g__SC-I-84" "s__"
## bASV_1112 "g__Lechevalieria" "s__"
## bASV_1114 "g__uncultured" "s__"
## bASV_1115 "g__Bryobacter" "s__"
## bASV_1116 "g__Sphingomonas" "s__"
## bASV_1117 "g__Bdellovibrio" "s__"
## bASV_1118 "g__Phenylobacterium" "s__"
## bASV_1119 "g__Sphingomonas" "s__"
## bASV_1120 NA NA
## bASV_1121 "g__Subgroup_7" "s__"
## bASV_1122 "g__C0119" "s__"
## bASV_1123 "g__Microvirga" "s__"
## bASV_1124 NA NA
## bASV_1125 "g__WD2101_soil_group" "s__"
## bASV_1126 "g__[Aquaspirillum]_arcticum_group" "s__"
## bASV_1127 "g__Vicinamibacteraceae" "s__"
## bASV_1128 "g__KF-JG30-B3" "s__"
## bASV_1129 "g__SC-I-84" "s__"
## bASV_1130 "g__uncultured" "s__"
## bASV_1131 "g__Acidibacter" "s__"
## bASV_1132 "g__uncultured" "s__"
## bASV_1133 "g__Acidovorax" "s__"
## bASV_1134 "g__Pajaroellobacter" "s__"
## bASV_1136 "g__JGI_0001001-H03" "s__"
## bASV_1137 NA NA
## ASV_id
## bASV_5 "bASV_5"
## bASV_7 "bASV_7"
## bASV_9 "bASV_9"
## bASV_11 "bASV_11"
## bASV_12 "bASV_12"
## bASV_13 "bASV_13"
## bASV_14 "bASV_14"
## bASV_15 "bASV_15"
## bASV_16 "bASV_16"
## bASV_18 "bASV_18"
## bASV_19 "bASV_19"
## bASV_20 "bASV_20"
## bASV_21 "bASV_21"
## bASV_23 "bASV_23"
## bASV_25 "bASV_25"
## bASV_27 "bASV_27"
## bASV_29 "bASV_29"
## bASV_30 "bASV_30"
## bASV_31 "bASV_31"
## bASV_32 "bASV_32"
## bASV_33 "bASV_33"
## bASV_34 "bASV_34"
## bASV_35 "bASV_35"
## bASV_36 "bASV_36"
## bASV_37 "bASV_37"
## bASV_38 "bASV_38"
## bASV_39 "bASV_39"
## bASV_40 "bASV_40"
## bASV_41 "bASV_41"
## bASV_43 "bASV_43"
## bASV_44 "bASV_44"
## bASV_45 "bASV_45"
## bASV_46 "bASV_46"
## bASV_48 "bASV_48"
## bASV_49 "bASV_49"
## bASV_50 "bASV_50"
## bASV_51 "bASV_51"
## bASV_52 "bASV_52"
## bASV_53 "bASV_53"
## bASV_54 "bASV_54"
## bASV_55 "bASV_55"
## bASV_56 "bASV_56"
## bASV_57 "bASV_57"
## bASV_58 "bASV_58"
## bASV_59 "bASV_59"
## bASV_60 "bASV_60"
## bASV_61 "bASV_61"
## bASV_62 "bASV_62"
## bASV_63 "bASV_63"
## bASV_64 "bASV_64"
## bASV_65 "bASV_65"
## bASV_66 "bASV_66"
## bASV_67 "bASV_67"
## bASV_68 "bASV_68"
## bASV_69 "bASV_69"
## bASV_70 "bASV_70"
## bASV_71 "bASV_71"
## bASV_72 "bASV_72"
## bASV_73 "bASV_73"
## bASV_74 "bASV_74"
## bASV_75 "bASV_75"
## bASV_76 "bASV_76"
## bASV_77 "bASV_77"
## bASV_78 "bASV_78"
## bASV_79 "bASV_79"
## bASV_80 "bASV_80"
## bASV_81 "bASV_81"
## bASV_82 "bASV_82"
## bASV_83 "bASV_83"
## bASV_84 "bASV_84"
## bASV_85 "bASV_85"
## bASV_86 "bASV_86"
## bASV_87 "bASV_87"
## bASV_88 "bASV_88"
## bASV_89 "bASV_89"
## bASV_90 "bASV_90"
## bASV_91 "bASV_91"
## bASV_92 "bASV_92"
## bASV_93 "bASV_93"
## bASV_94 "bASV_94"
## bASV_95 "bASV_95"
## bASV_96 "bASV_96"
## bASV_97 "bASV_97"
## bASV_98 "bASV_98"
## bASV_99 "bASV_99"
## bASV_100 "bASV_100"
## bASV_101 "bASV_101"
## bASV_102 "bASV_102"
## bASV_103 "bASV_103"
## bASV_104 "bASV_104"
## bASV_105 "bASV_105"
## bASV_106 "bASV_106"
## bASV_107 "bASV_107"
## bASV_108 "bASV_108"
## bASV_109 "bASV_109"
## bASV_110 "bASV_110"
## bASV_111 "bASV_111"
## bASV_112 "bASV_112"
## bASV_113 "bASV_113"
## bASV_114 "bASV_114"
## bASV_115 "bASV_115"
## bASV_116 "bASV_116"
## bASV_117 "bASV_117"
## bASV_118 "bASV_118"
## bASV_119 "bASV_119"
## bASV_120 "bASV_120"
## bASV_121 "bASV_121"
## bASV_122 "bASV_122"
## bASV_123 "bASV_123"
## bASV_124 "bASV_124"
## bASV_125 "bASV_125"
## bASV_126 "bASV_126"
## bASV_128 "bASV_128"
## bASV_129 "bASV_129"
## bASV_131 "bASV_131"
## bASV_132 "bASV_132"
## bASV_133 "bASV_133"
## bASV_134 "bASV_134"
## bASV_135 "bASV_135"
## bASV_136 "bASV_136"
## bASV_137 "bASV_137"
## bASV_138 "bASV_138"
## bASV_139 "bASV_139"
## bASV_140 "bASV_140"
## bASV_141 "bASV_141"
## bASV_142 "bASV_142"
## bASV_143 "bASV_143"
## bASV_144 "bASV_144"
## bASV_145 "bASV_145"
## bASV_146 "bASV_146"
## bASV_147 "bASV_147"
## bASV_148 "bASV_148"
## bASV_149 "bASV_149"
## bASV_151 "bASV_151"
## bASV_152 "bASV_152"
## bASV_153 "bASV_153"
## bASV_154 "bASV_154"
## bASV_155 "bASV_155"
## bASV_156 "bASV_156"
## bASV_158 "bASV_158"
## bASV_159 "bASV_159"
## bASV_160 "bASV_160"
## bASV_161 "bASV_161"
## bASV_162 "bASV_162"
## bASV_163 "bASV_163"
## bASV_164 "bASV_164"
## bASV_165 "bASV_165"
## bASV_166 "bASV_166"
## bASV_168 "bASV_168"
## bASV_169 "bASV_169"
## bASV_170 "bASV_170"
## bASV_171 "bASV_171"
## bASV_173 "bASV_173"
## bASV_174 "bASV_174"
## bASV_175 "bASV_175"
## bASV_176 "bASV_176"
## bASV_177 "bASV_177"
## bASV_178 "bASV_178"
## bASV_180 "bASV_180"
## bASV_181 "bASV_181"
## bASV_182 "bASV_182"
## bASV_183 "bASV_183"
## bASV_184 "bASV_184"
## bASV_185 "bASV_185"
## bASV_186 "bASV_186"
## bASV_187 "bASV_187"
## bASV_188 "bASV_188"
## bASV_189 "bASV_189"
## bASV_190 "bASV_190"
## bASV_191 "bASV_191"
## bASV_192 "bASV_192"
## bASV_193 "bASV_193"
## bASV_194 "bASV_194"
## bASV_195 "bASV_195"
## bASV_196 "bASV_196"
## bASV_197 "bASV_197"
## bASV_198 "bASV_198"
## bASV_199 "bASV_199"
## bASV_200 "bASV_200"
## bASV_201 "bASV_201"
## bASV_202 "bASV_202"
## bASV_203 "bASV_203"
## bASV_204 "bASV_204"
## bASV_205 "bASV_205"
## bASV_206 "bASV_206"
## bASV_207 "bASV_207"
## bASV_209 "bASV_209"
## bASV_211 "bASV_211"
## bASV_212 "bASV_212"
## bASV_213 "bASV_213"
## bASV_214 "bASV_214"
## bASV_215 "bASV_215"
## bASV_216 "bASV_216"
## bASV_217 "bASV_217"
## bASV_218 "bASV_218"
## bASV_219 "bASV_219"
## bASV_220 "bASV_220"
## bASV_221 "bASV_221"
## bASV_222 "bASV_222"
## bASV_223 "bASV_223"
## bASV_224 "bASV_224"
## bASV_225 "bASV_225"
## bASV_226 "bASV_226"
## bASV_227 "bASV_227"
## bASV_228 "bASV_228"
## bASV_229 "bASV_229"
## bASV_230 "bASV_230"
## bASV_231 "bASV_231"
## bASV_232 "bASV_232"
## bASV_233 "bASV_233"
## bASV_234 "bASV_234"
## bASV_235 "bASV_235"
## bASV_237 "bASV_237"
## bASV_238 "bASV_238"
## bASV_240 "bASV_240"
## bASV_241 "bASV_241"
## bASV_242 "bASV_242"
## bASV_243 "bASV_243"
## bASV_244 "bASV_244"
## bASV_245 "bASV_245"
## bASV_246 "bASV_246"
## bASV_247 "bASV_247"
## bASV_249 "bASV_249"
## bASV_250 "bASV_250"
## bASV_251 "bASV_251"
## bASV_252 "bASV_252"
## bASV_253 "bASV_253"
## bASV_254 "bASV_254"
## bASV_255 "bASV_255"
## bASV_256 "bASV_256"
## bASV_257 "bASV_257"
## bASV_258 "bASV_258"
## bASV_259 "bASV_259"
## bASV_260 "bASV_260"
## bASV_261 "bASV_261"
## bASV_262 "bASV_262"
## bASV_263 "bASV_263"
## bASV_264 "bASV_264"
## bASV_265 "bASV_265"
## bASV_266 "bASV_266"
## bASV_268 "bASV_268"
## bASV_269 "bASV_269"
## bASV_270 "bASV_270"
## bASV_271 "bASV_271"
## bASV_272 "bASV_272"
## bASV_273 "bASV_273"
## bASV_274 "bASV_274"
## bASV_275 "bASV_275"
## bASV_276 "bASV_276"
## bASV_277 "bASV_277"
## bASV_278 "bASV_278"
## bASV_279 "bASV_279"
## bASV_280 "bASV_280"
## bASV_281 "bASV_281"
## bASV_282 "bASV_282"
## bASV_283 "bASV_283"
## bASV_285 "bASV_285"
## bASV_286 "bASV_286"
## bASV_288 "bASV_288"
## bASV_289 "bASV_289"
## bASV_290 "bASV_290"
## bASV_291 "bASV_291"
## bASV_292 "bASV_292"
## bASV_293 "bASV_293"
## bASV_294 "bASV_294"
## bASV_295 "bASV_295"
## bASV_297 "bASV_297"
## bASV_298 "bASV_298"
## bASV_299 "bASV_299"
## bASV_300 "bASV_300"
## bASV_302 "bASV_302"
## bASV_303 "bASV_303"
## bASV_304 "bASV_304"
## bASV_305 "bASV_305"
## bASV_306 "bASV_306"
## bASV_307 "bASV_307"
## bASV_308 "bASV_308"
## bASV_309 "bASV_309"
## bASV_310 "bASV_310"
## bASV_312 "bASV_312"
## bASV_313 "bASV_313"
## bASV_314 "bASV_314"
## bASV_315 "bASV_315"
## bASV_316 "bASV_316"
## bASV_317 "bASV_317"
## bASV_318 "bASV_318"
## bASV_319 "bASV_319"
## bASV_321 "bASV_321"
## bASV_322 "bASV_322"
## bASV_323 "bASV_323"
## bASV_324 "bASV_324"
## bASV_325 "bASV_325"
## bASV_326 "bASV_326"
## bASV_327 "bASV_327"
## bASV_328 "bASV_328"
## bASV_330 "bASV_330"
## bASV_331 "bASV_331"
## bASV_332 "bASV_332"
## bASV_333 "bASV_333"
## bASV_334 "bASV_334"
## bASV_335 "bASV_335"
## bASV_336 "bASV_336"
## bASV_337 "bASV_337"
## bASV_339 "bASV_339"
## bASV_340 "bASV_340"
## bASV_341 "bASV_341"
## bASV_342 "bASV_342"
## bASV_343 "bASV_343"
## bASV_345 "bASV_345"
## bASV_346 "bASV_346"
## bASV_347 "bASV_347"
## bASV_348 "bASV_348"
## bASV_349 "bASV_349"
## bASV_350 "bASV_350"
## bASV_351 "bASV_351"
## bASV_352 "bASV_352"
## bASV_353 "bASV_353"
## bASV_354 "bASV_354"
## bASV_355 "bASV_355"
## bASV_356 "bASV_356"
## bASV_357 "bASV_357"
## bASV_358 "bASV_358"
## bASV_359 "bASV_359"
## bASV_361 "bASV_361"
## bASV_362 "bASV_362"
## bASV_363 "bASV_363"
## bASV_364 "bASV_364"
## bASV_365 "bASV_365"
## bASV_366 "bASV_366"
## bASV_367 "bASV_367"
## bASV_368 "bASV_368"
## bASV_369 "bASV_369"
## bASV_370 "bASV_370"
## bASV_371 "bASV_371"
## bASV_372 "bASV_372"
## bASV_374 "bASV_374"
## bASV_375 "bASV_375"
## bASV_376 "bASV_376"
## bASV_377 "bASV_377"
## bASV_378 "bASV_378"
## bASV_379 "bASV_379"
## bASV_380 "bASV_380"
## bASV_381 "bASV_381"
## bASV_382 "bASV_382"
## bASV_383 "bASV_383"
## bASV_384 "bASV_384"
## bASV_385 "bASV_385"
## bASV_386 "bASV_386"
## bASV_387 "bASV_387"
## bASV_388 "bASV_388"
## bASV_389 "bASV_389"
## bASV_390 "bASV_390"
## bASV_391 "bASV_391"
## bASV_392 "bASV_392"
## bASV_395 "bASV_395"
## bASV_396 "bASV_396"
## bASV_397 "bASV_397"
## bASV_399 "bASV_399"
## bASV_400 "bASV_400"
## bASV_401 "bASV_401"
## bASV_402 "bASV_402"
## bASV_403 "bASV_403"
## bASV_404 "bASV_404"
## bASV_406 "bASV_406"
## bASV_407 "bASV_407"
## bASV_408 "bASV_408"
## bASV_409 "bASV_409"
## bASV_410 "bASV_410"
## bASV_411 "bASV_411"
## bASV_412 "bASV_412"
## bASV_413 "bASV_413"
## bASV_414 "bASV_414"
## bASV_416 "bASV_416"
## bASV_417 "bASV_417"
## bASV_418 "bASV_418"
## bASV_419 "bASV_419"
## bASV_420 "bASV_420"
## bASV_421 "bASV_421"
## bASV_422 "bASV_422"
## bASV_423 "bASV_423"
## bASV_424 "bASV_424"
## bASV_425 "bASV_425"
## bASV_426 "bASV_426"
## bASV_427 "bASV_427"
## bASV_428 "bASV_428"
## bASV_429 "bASV_429"
## bASV_430 "bASV_430"
## bASV_431 "bASV_431"
## bASV_432 "bASV_432"
## bASV_433 "bASV_433"
## bASV_434 "bASV_434"
## bASV_435 "bASV_435"
## bASV_436 "bASV_436"
## bASV_438 "bASV_438"
## bASV_439 "bASV_439"
## bASV_440 "bASV_440"
## bASV_441 "bASV_441"
## bASV_442 "bASV_442"
## bASV_443 "bASV_443"
## bASV_446 "bASV_446"
## bASV_447 "bASV_447"
## bASV_448 "bASV_448"
## bASV_449 "bASV_449"
## bASV_450 "bASV_450"
## bASV_451 "bASV_451"
## bASV_453 "bASV_453"
## bASV_454 "bASV_454"
## bASV_455 "bASV_455"
## bASV_456 "bASV_456"
## bASV_457 "bASV_457"
## bASV_458 "bASV_458"
## bASV_459 "bASV_459"
## bASV_460 "bASV_460"
## bASV_461 "bASV_461"
## bASV_462 "bASV_462"
## bASV_464 "bASV_464"
## bASV_465 "bASV_465"
## bASV_466 "bASV_466"
## bASV_467 "bASV_467"
## bASV_468 "bASV_468"
## bASV_469 "bASV_469"
## bASV_471 "bASV_471"
## bASV_472 "bASV_472"
## bASV_474 "bASV_474"
## bASV_476 "bASV_476"
## bASV_477 "bASV_477"
## bASV_478 "bASV_478"
## bASV_479 "bASV_479"
## bASV_480 "bASV_480"
## bASV_481 "bASV_481"
## bASV_482 "bASV_482"
## bASV_483 "bASV_483"
## bASV_484 "bASV_484"
## bASV_485 "bASV_485"
## bASV_486 "bASV_486"
## bASV_487 "bASV_487"
## bASV_488 "bASV_488"
## bASV_489 "bASV_489"
## bASV_490 "bASV_490"
## bASV_491 "bASV_491"
## bASV_492 "bASV_492"
## bASV_493 "bASV_493"
## bASV_494 "bASV_494"
## bASV_495 "bASV_495"
## bASV_496 "bASV_496"
## bASV_498 "bASV_498"
## bASV_499 "bASV_499"
## bASV_500 "bASV_500"
## bASV_501 "bASV_501"
## bASV_503 "bASV_503"
## bASV_504 "bASV_504"
## bASV_505 "bASV_505"
## bASV_506 "bASV_506"
## bASV_507 "bASV_507"
## bASV_508 "bASV_508"
## bASV_509 "bASV_509"
## bASV_510 "bASV_510"
## bASV_511 "bASV_511"
## bASV_512 "bASV_512"
## bASV_513 "bASV_513"
## bASV_514 "bASV_514"
## bASV_515 "bASV_515"
## bASV_516 "bASV_516"
## bASV_517 "bASV_517"
## bASV_518 "bASV_518"
## bASV_519 "bASV_519"
## bASV_520 "bASV_520"
## bASV_521 "bASV_521"
## bASV_522 "bASV_522"
## bASV_524 "bASV_524"
## bASV_525 "bASV_525"
## bASV_526 "bASV_526"
## bASV_527 "bASV_527"
## bASV_528 "bASV_528"
## bASV_529 "bASV_529"
## bASV_530 "bASV_530"
## bASV_531 "bASV_531"
## bASV_533 "bASV_533"
## bASV_534 "bASV_534"
## bASV_535 "bASV_535"
## bASV_536 "bASV_536"
## bASV_537 "bASV_537"
## bASV_539 "bASV_539"
## bASV_540 "bASV_540"
## bASV_541 "bASV_541"
## bASV_542 "bASV_542"
## bASV_546 "bASV_546"
## bASV_547 "bASV_547"
## bASV_548 "bASV_548"
## bASV_549 "bASV_549"
## bASV_550 "bASV_550"
## bASV_551 "bASV_551"
## bASV_552 "bASV_552"
## bASV_553 "bASV_553"
## bASV_554 "bASV_554"
## bASV_556 "bASV_556"
## bASV_557 "bASV_557"
## bASV_558 "bASV_558"
## bASV_561 "bASV_561"
## bASV_562 "bASV_562"
## bASV_563 "bASV_563"
## bASV_564 "bASV_564"
## bASV_565 "bASV_565"
## bASV_567 "bASV_567"
## bASV_569 "bASV_569"
## bASV_570 "bASV_570"
## bASV_571 "bASV_571"
## bASV_572 "bASV_572"
## bASV_573 "bASV_573"
## bASV_574 "bASV_574"
## bASV_575 "bASV_575"
## bASV_576 "bASV_576"
## bASV_577 "bASV_577"
## bASV_578 "bASV_578"
## bASV_579 "bASV_579"
## bASV_580 "bASV_580"
## bASV_581 "bASV_581"
## bASV_582 "bASV_582"
## bASV_583 "bASV_583"
## bASV_584 "bASV_584"
## bASV_585 "bASV_585"
## bASV_586 "bASV_586"
## bASV_587 "bASV_587"
## bASV_590 "bASV_590"
## bASV_591 "bASV_591"
## bASV_592 "bASV_592"
## bASV_593 "bASV_593"
## bASV_595 "bASV_595"
## bASV_596 "bASV_596"
## bASV_597 "bASV_597"
## bASV_598 "bASV_598"
## bASV_599 "bASV_599"
## bASV_600 "bASV_600"
## bASV_601 "bASV_601"
## bASV_602 "bASV_602"
## bASV_603 "bASV_603"
## bASV_604 "bASV_604"
## bASV_605 "bASV_605"
## bASV_606 "bASV_606"
## bASV_607 "bASV_607"
## bASV_609 "bASV_609"
## bASV_611 "bASV_611"
## bASV_612 "bASV_612"
## bASV_613 "bASV_613"
## bASV_614 "bASV_614"
## bASV_615 "bASV_615"
## bASV_616 "bASV_616"
## bASV_617 "bASV_617"
## bASV_619 "bASV_619"
## bASV_621 "bASV_621"
## bASV_622 "bASV_622"
## bASV_623 "bASV_623"
## bASV_624 "bASV_624"
## bASV_625 "bASV_625"
## bASV_626 "bASV_626"
## bASV_627 "bASV_627"
## bASV_628 "bASV_628"
## bASV_629 "bASV_629"
## bASV_632 "bASV_632"
## bASV_635 "bASV_635"
## bASV_636 "bASV_636"
## bASV_637 "bASV_637"
## bASV_638 "bASV_638"
## bASV_639 "bASV_639"
## bASV_640 "bASV_640"
## bASV_641 "bASV_641"
## bASV_642 "bASV_642"
## bASV_643 "bASV_643"
## bASV_645 "bASV_645"
## bASV_646 "bASV_646"
## bASV_647 "bASV_647"
## bASV_648 "bASV_648"
## bASV_649 "bASV_649"
## bASV_650 "bASV_650"
## bASV_651 "bASV_651"
## bASV_652 "bASV_652"
## bASV_653 "bASV_653"
## bASV_654 "bASV_654"
## bASV_655 "bASV_655"
## bASV_657 "bASV_657"
## bASV_658 "bASV_658"
## bASV_659 "bASV_659"
## bASV_660 "bASV_660"
## bASV_661 "bASV_661"
## bASV_662 "bASV_662"
## bASV_663 "bASV_663"
## bASV_664 "bASV_664"
## bASV_665 "bASV_665"
## bASV_666 "bASV_666"
## bASV_667 "bASV_667"
## bASV_668 "bASV_668"
## bASV_669 "bASV_669"
## bASV_670 "bASV_670"
## bASV_672 "bASV_672"
## bASV_674 "bASV_674"
## bASV_675 "bASV_675"
## bASV_676 "bASV_676"
## bASV_677 "bASV_677"
## bASV_678 "bASV_678"
## bASV_682 "bASV_682"
## bASV_683 "bASV_683"
## bASV_684 "bASV_684"
## bASV_687 "bASV_687"
## bASV_688 "bASV_688"
## bASV_691 "bASV_691"
## bASV_692 "bASV_692"
## bASV_693 "bASV_693"
## bASV_694 "bASV_694"
## bASV_695 "bASV_695"
## bASV_696 "bASV_696"
## bASV_698 "bASV_698"
## bASV_699 "bASV_699"
## bASV_700 "bASV_700"
## bASV_701 "bASV_701"
## bASV_702 "bASV_702"
## bASV_703 "bASV_703"
## bASV_704 "bASV_704"
## bASV_705 "bASV_705"
## bASV_706 "bASV_706"
## bASV_707 "bASV_707"
## bASV_708 "bASV_708"
## bASV_709 "bASV_709"
## bASV_711 "bASV_711"
## bASV_712 "bASV_712"
## bASV_713 "bASV_713"
## bASV_714 "bASV_714"
## bASV_715 "bASV_715"
## bASV_716 "bASV_716"
## bASV_717 "bASV_717"
## bASV_719 "bASV_719"
## bASV_720 "bASV_720"
## bASV_721 "bASV_721"
## bASV_722 "bASV_722"
## bASV_724 "bASV_724"
## bASV_725 "bASV_725"
## bASV_726 "bASV_726"
## bASV_728 "bASV_728"
## bASV_729 "bASV_729"
## bASV_730 "bASV_730"
## bASV_731 "bASV_731"
## bASV_732 "bASV_732"
## bASV_733 "bASV_733"
## bASV_735 "bASV_735"
## bASV_736 "bASV_736"
## bASV_737 "bASV_737"
## bASV_738 "bASV_738"
## bASV_739 "bASV_739"
## bASV_740 "bASV_740"
## bASV_741 "bASV_741"
## bASV_743 "bASV_743"
## bASV_744 "bASV_744"
## bASV_745 "bASV_745"
## bASV_746 "bASV_746"
## bASV_747 "bASV_747"
## bASV_749 "bASV_749"
## bASV_752 "bASV_752"
## bASV_753 "bASV_753"
## bASV_754 "bASV_754"
## bASV_755 "bASV_755"
## bASV_756 "bASV_756"
## bASV_757 "bASV_757"
## bASV_758 "bASV_758"
## bASV_759 "bASV_759"
## bASV_760 "bASV_760"
## bASV_761 "bASV_761"
## bASV_762 "bASV_762"
## bASV_763 "bASV_763"
## bASV_764 "bASV_764"
## bASV_766 "bASV_766"
## bASV_767 "bASV_767"
## bASV_769 "bASV_769"
## bASV_770 "bASV_770"
## bASV_771 "bASV_771"
## bASV_772 "bASV_772"
## bASV_773 "bASV_773"
## bASV_776 "bASV_776"
## bASV_777 "bASV_777"
## bASV_780 "bASV_780"
## bASV_782 "bASV_782"
## bASV_784 "bASV_784"
## bASV_785 "bASV_785"
## bASV_786 "bASV_786"
## bASV_787 "bASV_787"
## bASV_788 "bASV_788"
## bASV_789 "bASV_789"
## bASV_791 "bASV_791"
## bASV_792 "bASV_792"
## bASV_793 "bASV_793"
## bASV_794 "bASV_794"
## bASV_795 "bASV_795"
## bASV_797 "bASV_797"
## bASV_798 "bASV_798"
## bASV_799 "bASV_799"
## bASV_800 "bASV_800"
## bASV_801 "bASV_801"
## bASV_803 "bASV_803"
## bASV_804 "bASV_804"
## bASV_805 "bASV_805"
## bASV_806 "bASV_806"
## bASV_807 "bASV_807"
## bASV_808 "bASV_808"
## bASV_809 "bASV_809"
## bASV_810 "bASV_810"
## bASV_812 "bASV_812"
## bASV_813 "bASV_813"
## bASV_814 "bASV_814"
## bASV_816 "bASV_816"
## bASV_817 "bASV_817"
## bASV_819 "bASV_819"
## bASV_820 "bASV_820"
## bASV_821 "bASV_821"
## bASV_822 "bASV_822"
## bASV_823 "bASV_823"
## bASV_824 "bASV_824"
## bASV_825 "bASV_825"
## bASV_826 "bASV_826"
## bASV_827 "bASV_827"
## bASV_828 "bASV_828"
## bASV_829 "bASV_829"
## bASV_830 "bASV_830"
## bASV_831 "bASV_831"
## bASV_832 "bASV_832"
## bASV_833 "bASV_833"
## bASV_835 "bASV_835"
## bASV_836 "bASV_836"
## bASV_837 "bASV_837"
## bASV_838 "bASV_838"
## bASV_840 "bASV_840"
## bASV_841 "bASV_841"
## bASV_842 "bASV_842"
## bASV_843 "bASV_843"
## bASV_844 "bASV_844"
## bASV_845 "bASV_845"
## bASV_846 "bASV_846"
## bASV_847 "bASV_847"
## bASV_848 "bASV_848"
## bASV_849 "bASV_849"
## bASV_851 "bASV_851"
## bASV_854 "bASV_854"
## bASV_855 "bASV_855"
## bASV_856 "bASV_856"
## bASV_857 "bASV_857"
## bASV_858 "bASV_858"
## bASV_859 "bASV_859"
## bASV_860 "bASV_860"
## bASV_861 "bASV_861"
## bASV_865 "bASV_865"
## bASV_866 "bASV_866"
## bASV_867 "bASV_867"
## bASV_868 "bASV_868"
## bASV_869 "bASV_869"
## bASV_870 "bASV_870"
## bASV_871 "bASV_871"
## bASV_874 "bASV_874"
## bASV_875 "bASV_875"
## bASV_876 "bASV_876"
## bASV_877 "bASV_877"
## bASV_878 "bASV_878"
## bASV_879 "bASV_879"
## bASV_880 "bASV_880"
## bASV_882 "bASV_882"
## bASV_883 "bASV_883"
## bASV_885 "bASV_885"
## bASV_886 "bASV_886"
## bASV_887 "bASV_887"
## bASV_888 "bASV_888"
## bASV_890 "bASV_890"
## bASV_891 "bASV_891"
## bASV_892 "bASV_892"
## bASV_893 "bASV_893"
## bASV_895 "bASV_895"
## bASV_896 "bASV_896"
## bASV_897 "bASV_897"
## bASV_898 "bASV_898"
## bASV_901 "bASV_901"
## bASV_902 "bASV_902"
## bASV_903 "bASV_903"
## bASV_904 "bASV_904"
## bASV_905 "bASV_905"
## bASV_906 "bASV_906"
## bASV_907 "bASV_907"
## bASV_908 "bASV_908"
## bASV_909 "bASV_909"
## bASV_910 "bASV_910"
## bASV_911 "bASV_911"
## bASV_912 "bASV_912"
## bASV_914 "bASV_914"
## bASV_915 "bASV_915"
## bASV_916 "bASV_916"
## bASV_917 "bASV_917"
## bASV_918 "bASV_918"
## bASV_920 "bASV_920"
## bASV_921 "bASV_921"
## bASV_922 "bASV_922"
## bASV_923 "bASV_923"
## bASV_924 "bASV_924"
## bASV_925 "bASV_925"
## bASV_926 "bASV_926"
## bASV_928 "bASV_928"
## bASV_930 "bASV_930"
## bASV_931 "bASV_931"
## bASV_933 "bASV_933"
## bASV_934 "bASV_934"
## bASV_935 "bASV_935"
## bASV_936 "bASV_936"
## bASV_937 "bASV_937"
## bASV_939 "bASV_939"
## bASV_940 "bASV_940"
## bASV_941 "bASV_941"
## bASV_945 "bASV_945"
## bASV_946 "bASV_946"
## bASV_947 "bASV_947"
## bASV_948 "bASV_948"
## bASV_949 "bASV_949"
## bASV_950 "bASV_950"
## bASV_951 "bASV_951"
## bASV_952 "bASV_952"
## bASV_953 "bASV_953"
## bASV_954 "bASV_954"
## bASV_955 "bASV_955"
## bASV_956 "bASV_956"
## bASV_958 "bASV_958"
## bASV_959 "bASV_959"
## bASV_960 "bASV_960"
## bASV_961 "bASV_961"
## bASV_963 "bASV_963"
## bASV_964 "bASV_964"
## bASV_966 "bASV_966"
## bASV_969 "bASV_969"
## bASV_972 "bASV_972"
## bASV_973 "bASV_973"
## bASV_974 "bASV_974"
## bASV_975 "bASV_975"
## bASV_976 "bASV_976"
## bASV_977 "bASV_977"
## bASV_979 "bASV_979"
## bASV_980 "bASV_980"
## bASV_981 "bASV_981"
## bASV_982 "bASV_982"
## bASV_983 "bASV_983"
## bASV_984 "bASV_984"
## bASV_986 "bASV_986"
## bASV_988 "bASV_988"
## bASV_989 "bASV_989"
## bASV_990 "bASV_990"
## bASV_991 "bASV_991"
## bASV_992 "bASV_992"
## bASV_994 "bASV_994"
## bASV_995 "bASV_995"
## bASV_996 "bASV_996"
## bASV_998 "bASV_998"
## bASV_999 "bASV_999"
## bASV_1001 "bASV_1001"
## bASV_1003 "bASV_1003"
## bASV_1005 "bASV_1005"
## bASV_1006 "bASV_1006"
## bASV_1007 "bASV_1007"
## bASV_1008 "bASV_1008"
## bASV_1010 "bASV_1010"
## bASV_1011 "bASV_1011"
## bASV_1012 "bASV_1012"
## bASV_1013 "bASV_1013"
## bASV_1014 "bASV_1014"
## bASV_1015 "bASV_1015"
## bASV_1016 "bASV_1016"
## bASV_1017 "bASV_1017"
## bASV_1018 "bASV_1018"
## bASV_1019 "bASV_1019"
## bASV_1020 "bASV_1020"
## bASV_1021 "bASV_1021"
## bASV_1022 "bASV_1022"
## bASV_1027 "bASV_1027"
## bASV_1028 "bASV_1028"
## bASV_1029 "bASV_1029"
## bASV_1030 "bASV_1030"
## bASV_1031 "bASV_1031"
## bASV_1032 "bASV_1032"
## bASV_1033 "bASV_1033"
## bASV_1034 "bASV_1034"
## bASV_1035 "bASV_1035"
## bASV_1037 "bASV_1037"
## bASV_1038 "bASV_1038"
## bASV_1039 "bASV_1039"
## bASV_1041 "bASV_1041"
## bASV_1042 "bASV_1042"
## bASV_1045 "bASV_1045"
## bASV_1046 "bASV_1046"
## bASV_1047 "bASV_1047"
## bASV_1048 "bASV_1048"
## bASV_1049 "bASV_1049"
## bASV_1052 "bASV_1052"
## bASV_1054 "bASV_1054"
## bASV_1055 "bASV_1055"
## bASV_1056 "bASV_1056"
## bASV_1057 "bASV_1057"
## bASV_1058 "bASV_1058"
## bASV_1059 "bASV_1059"
## bASV_1060 "bASV_1060"
## bASV_1061 "bASV_1061"
## bASV_1062 "bASV_1062"
## bASV_1064 "bASV_1064"
## bASV_1066 "bASV_1066"
## bASV_1067 "bASV_1067"
## bASV_1068 "bASV_1068"
## bASV_1070 "bASV_1070"
## bASV_1071 "bASV_1071"
## bASV_1072 "bASV_1072"
## bASV_1073 "bASV_1073"
## bASV_1074 "bASV_1074"
## bASV_1075 "bASV_1075"
## bASV_1077 "bASV_1077"
## bASV_1078 "bASV_1078"
## bASV_1079 "bASV_1079"
## bASV_1080 "bASV_1080"
## bASV_1081 "bASV_1081"
## bASV_1082 "bASV_1082"
## bASV_1083 "bASV_1083"
## bASV_1084 "bASV_1084"
## bASV_1085 "bASV_1085"
## bASV_1086 "bASV_1086"
## bASV_1087 "bASV_1087"
## bASV_1088 "bASV_1088"
## bASV_1089 "bASV_1089"
## bASV_1090 "bASV_1090"
## bASV_1091 "bASV_1091"
## bASV_1092 "bASV_1092"
## bASV_1094 "bASV_1094"
## bASV_1095 "bASV_1095"
## bASV_1096 "bASV_1096"
## bASV_1098 "bASV_1098"
## bASV_1099 "bASV_1099"
## bASV_1102 "bASV_1102"
## bASV_1103 "bASV_1103"
## bASV_1105 "bASV_1105"
## bASV_1107 "bASV_1107"
## bASV_1108 "bASV_1108"
## bASV_1109 "bASV_1109"
## bASV_1110 "bASV_1110"
## bASV_1111 "bASV_1111"
## bASV_1112 "bASV_1112"
## bASV_1114 "bASV_1114"
## bASV_1115 "bASV_1115"
## bASV_1116 "bASV_1116"
## bASV_1117 "bASV_1117"
## bASV_1118 "bASV_1118"
## bASV_1119 "bASV_1119"
## bASV_1120 "bASV_1120"
## bASV_1121 "bASV_1121"
## bASV_1122 "bASV_1122"
## bASV_1123 "bASV_1123"
## bASV_1124 "bASV_1124"
## bASV_1125 "bASV_1125"
## bASV_1126 "bASV_1126"
## bASV_1127 "bASV_1127"
## bASV_1128 "bASV_1128"
## bASV_1129 "bASV_1129"
## bASV_1130 "bASV_1130"
## bASV_1131 "bASV_1131"
## bASV_1132 "bASV_1132"
## bASV_1133 "bASV_1133"
## bASV_1134 "bASV_1134"
## bASV_1136 "bASV_1136"
## bASV_1137 "bASV_1137"# check metadata of the second list object
sample_data(object = ps_l[[2]])## Target Harvest_ID Block_row_column Sp_speed Stress Speed Block Rows
## 49_16S 16S 49 1.2.4 M1 Control Medium 1 2
## 50_16S 16S 50 2.3.1 M1 Control Medium 2 3
## 51_16S 16S 51 3.2.9 M1 Control Medium 3 2
## 52_16S 16S 52 4.1.6 M1 Control Medium 4 1
## 53_16S 16S 53 5.6.14 M1 Control Medium 5 6
## 54_16S 16S 54 6.5.3 M1 Control Medium 6 5
## 55_16S 16S 55 7.1.12 M1 Control Medium 7 1
## 56_16S 16S 56 8.2.15 M1 Control Medium 8 2
## 57_16S 16S 57 9.2.7 M1 Control Medium 9 2
## 58_16S 16S 58 10.2.11 M1 Control Medium 10 2
## 59_16S 16S 59 11.1.2 M1 Control Medium 11 1
## 60_16S 16S 60 12.5.13 M1 Control Medium 12 5
## 61_16S 16S 61 13.4.10 M1 Control Medium 13 4
## 62_16S 16S 62 14.4.5 M1 Control Medium 14 4
## 63_16S 16S 63 15.6.8 M1 Control Medium 15 6
## 64_16S 16S 64 16.1.16 M1 Control Medium 16 1
## 65_16S 16S 65 1.6.10 M1 MeJA Medium 1 6
## 66_16S 16S 66 2.6.2 M1 MeJA Medium 2 6
## 67_16S 16S 67 3.2.13 M1 MeJA Medium 3 2
## 68_16S 16S 68 4.3.8 M1 MeJA Medium 4 3
## 69_16S 16S 69 5.5.14 M1 MeJA Medium 5 5
## 70_16S 16S 70 6.5.4 M1 MeJA Medium 6 5
## 71_16S 16S 71 7.2.3 M1 MeJA Medium 7 2
## 72_16S 16S 72 8.1.1 M1 MeJA Medium 8 1
## 73_16S 16S 73 9.6.16 M1 MeJA Medium 9 6
## 74_16S 16S 74 10.3.11 M1 MeJA Medium 10 3
## 75_16S 16S 75 11.5.9 M1 MeJA Medium 11 5
## 76_16S 16S 76 12.5.17 M1 MeJA Medium 12 5
## 77_16S 16S 77 13.2.12 M1 MeJA Medium 13 2
## 78_16S 16S 78 14.6.6 M1 MeJA Medium 14 6
## 79_16S 16S 79 15.6.7 M1 MeJA Medium 15 6
## 80_16S 16S 80 16.3.15 M1 MeJA Medium 16 3
## 81_16S 16S 81 1.4.6 M1 SA Medium 1 4
## 82_16S 16S 82 2.2.9 M1 SA Medium 2 2
## 83_16S 16S 83 3.4.10 M1 SA Medium 3 4
## 84_16S 16S 84 4.2.2 M1 SA Medium 4 2
## 85_16S 16S 85 5.4.1 M1 SA Medium 5 4
## 86_16S 16S 86 6.2.17 M1 SA Medium 6 2
## 87_16S 16S 87 7.2.13 M1 SA Medium 7 2
## 88_16S 16S 88 8.5.15 M1 SA Medium 8 5
## 89_16S 16S 89 9.6.7 M1 SA Medium 9 6
## 90_16S 16S 90 10.5.11 M1 SA Medium 10 5
## 91_16S 16S 91 11.1.12 M1 SA Medium 11 1
## 92_16S 16S 92 12.6.5 M1 SA Medium 12 6
## 93_16S 16S 93 13.6.14 M1 SA Medium 13 6
## 94_16S 16S 94 14.2.3 M1 SA Medium 14 2
## 95_16S 16S 95 15.2.16 M1 SA Medium 15 2
## 96_16S 16S 96 16.3.8 M1 SA Medium 16 3
## Columns root_weight Nucleic_Acid_ngul Plate_name Plate_postion Plate_row
## 49_16S 4 0.4940625 73.3 M1 A1 A
## 50_16S 1 0.3940625 71.5 M1 B1 B
## 51_16S 9 0.4840625 124.3 M1 C1 C
## 52_16S 6 0.7640625 86.4 M1 D1 D
## 53_16S 14 0.4940625 103.9 M1 E1 E
## 54_16S 3 0.5140625 43.1 M1 F1 F
## 55_16S 12 0.4440625 66.0 M1 G1 G
## 56_16S 15 0.4740625 101.7 M1 H1 H
## 57_16S 7 0.3040625 112.6 M1 A2 A
## 58_16S 11 0.3240625 98.6 M1 B2 B
## 59_16S 2 0.3340625 59.8 M1 C2 C
## 60_16S 13 0.3040625 103.7 M1 D2 D
## 61_16S 10 0.6840625 55.4 M1 E2 E
## 62_16S 5 0.4040625 77.1 M1 F2 F
## 63_16S 8 0.3840625 55.2 M1 G2 G
## 64_16S 16 0.5840625 97.4 M1 H2 H
## 65_16S 10 0.6340625 67.8 M1 A3 A
## 66_16S 2 0.2340625 37.2 M1 B3 B
## 67_16S 13 0.3940625 69.4 M1 C3 C
## 68_16S 8 0.2540625 59.3 M1 D3 D
## 69_16S 14 0.3540625 48.0 M1 E3 E
## 70_16S 4 0.4740625 58.7 M1 F3 F
## 71_16S 3 0.4340625 50.9 M1 G3 G
## 72_16S 1 0.3140625 61.6 M1 H3 H
## 73_16S 16 0.3640625 72.3 M1 A4 A
## 74_16S 11 0.2940625 72.9 M1 B4 B
## 75_16S 9 0.4340625 85.8 M1 C4 C
## 76_16S 17 0.3640625 14.6 M1 D4 D
## 77_16S 12 0.2640625 71.2 M1 E4 E
## 78_16S 6 0.2440625 50.3 M1 F4 F
## 79_16S 7 0.3240625 52.1 M1 G4 G
## 80_16S 15 0.6440625 64.3 M1 H4 H
## 81_16S 6 0.4840625 88.7 M1 A5 A
## 82_16S 9 0.7240625 108.8 M1 B5 B
## 83_16S 10 0.7440625 77.6 M1 C5 C
## 84_16S 2 0.4440625 92.3 M1 D5 D
## 85_16S 1 0.3440625 79.1 M1 E5 E
## 86_16S 17 0.3040625 63.3 M1 F5 F
## 87_16S 13 0.2940625 46.3 M1 G5 G
## 88_16S 15 0.4740625 93.1 M1 H5 H
## 89_16S 7 0.2640625 9.9 M1 A6 A
## 90_16S 11 0.5340625 87.1 M1 B6 B
## 91_16S 12 0.3840625 86.4 M1 C6 C
## 92_16S 5 0.4840625 93.5 M1 D6 D
## 93_16S 14 0.7540625 97.4 M1 E6 E
## 94_16S 3 0.6340625 77.4 M1 F6 F
## 95_16S 16 0.6440625 88.1 M1 G6 G
## 96_16S 8 0.4040625 91.1 M1 H6 H
## Plate_column GQ_submission_order sample_type greenhouse_compartment
## 49_16S 1 1346 rhizoplane 2.12
## 50_16S 1 1347 rhizoplane 2.12
## 51_16S 1 1348 rhizoplane 2.12
## 52_16S 1 1349 rhizoplane 2.12
## 53_16S 1 1350 rhizoplane 2.12
## 54_16S 1 1351 rhizoplane 2.12
## 55_16S 1 1352 rhizoplane 2.12
## 56_16S 1 1353 rhizoplane 2.12
## 57_16S 2 1354 rhizoplane 2.10
## 58_16S 2 1355 rhizoplane 2.10
## 59_16S 2 1356 rhizoplane 2.10
## 60_16S 2 1357 rhizoplane 2.10
## 61_16S 2 1358 rhizoplane 2.10
## 62_16S 2 1359 rhizoplane 2.10
## 63_16S 2 1360 rhizoplane 2.10
## 64_16S 2 1361 rhizoplane 2.10
## 65_16S 3 1362 rhizoplane 2.12
## 66_16S 3 1363 rhizoplane 2.12
## 67_16S 3 1364 rhizoplane 2.12
## 68_16S 3 1365 rhizoplane 2.12
## 69_16S 3 1366 rhizoplane 2.12
## 70_16S 3 1367 rhizoplane 2.12
## 71_16S 3 1368 rhizoplane 2.12
## 72_16S 3 1369 rhizoplane 2.12
## 73_16S 4 1370 rhizoplane 2.10
## 74_16S 4 1371 rhizoplane 2.10
## 75_16S 4 1372 rhizoplane 2.10
## 76_16S 4 1373 rhizoplane 2.10
## 77_16S 4 1374 rhizoplane 2.10
## 78_16S 4 1375 rhizoplane 2.10
## 79_16S 4 1376 rhizoplane 2.10
## 80_16S 4 1377 rhizoplane 2.10
## 81_16S 5 1378 rhizoplane 2.12
## 82_16S 5 1379 rhizoplane 2.12
## 83_16S 5 1380 rhizoplane 2.12
## 84_16S 5 1381 rhizoplane 2.12
## 85_16S 5 1382 rhizoplane 2.12
## 86_16S 5 1383 rhizoplane 2.12
## 87_16S 5 1384 rhizoplane 2.12
## 88_16S 5 1385 rhizoplane 2.12
## 89_16S 6 1386 rhizoplane 2.10
## 90_16S 6 1387 rhizoplane 2.10
## 91_16S 6 1388 rhizoplane 2.10
## 92_16S 6 1389 rhizoplane 2.10
## 93_16S 6 1390 rhizoplane 2.10
## 94_16S 6 1391 rhizoplane 2.10
## 95_16S 6 1392 rhizoplane 2.10
## 96_16S 6 1393 rhizoplane 2.10
## greenhouse_table Sp_full_name Sp_abb_name Sp_Tribe
## 49_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 50_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 51_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 52_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 53_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 54_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 55_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 56_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 57_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 58_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 59_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 60_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 61_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 62_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 63_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 64_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 65_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 66_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 67_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 68_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 69_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 70_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 71_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 72_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 73_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 74_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 75_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 76_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 77_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 78_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 79_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 80_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 81_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 82_16S 1_2 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 83_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 84_16S 3_4 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 85_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 86_16S 5_6 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 87_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 88_16S 7_8 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 89_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 90_16S 9_10 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 91_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 92_16S 11_12 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 93_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 94_16S 13_14 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 95_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## 96_16S 15_16 Brassica_oleraceae_Rivera_Medium Bo_M Brassiceae
## Sp_Lineage_Walden Sp_Family Sp_Guest Roots Shoot_.DryWeight Rainbow
## 49_16S lineage_II Brassicaceae no 1 1.016 0
## 50_16S lineage_II Brassicaceae no 1 1.179 0
## 51_16S lineage_II Brassicaceae no 1 1.391 0
## 52_16S lineage_II Brassicaceae no 1 1.436 0
## 53_16S lineage_II Brassicaceae no 1 1.048 0
## 54_16S lineage_II Brassicaceae no 1 1.227 0
## 55_16S lineage_II Brassicaceae no 1 NA 1
## 56_16S lineage_II Brassicaceae no 1 NA 1
## 57_16S lineage_II Brassicaceae no 1 1.728 0
## 58_16S lineage_II Brassicaceae no 1 1.498 0
## 59_16S lineage_II Brassicaceae no 1 NA 1
## 60_16S lineage_II Brassicaceae no 1 1.582 0
## 61_16S lineage_II Brassicaceae no 1 1.514 0
## 62_16S lineage_II Brassicaceae no 1 NA 1
## 63_16S lineage_II Brassicaceae no 1 1.313 0
## 64_16S lineage_II Brassicaceae no 1 1.632 0
## 65_16S lineage_II Brassicaceae no 1 0.955 0
## 66_16S lineage_II Brassicaceae no 1 1.065 0
## 67_16S lineage_II Brassicaceae no 1 0.897 0
## 68_16S lineage_II Brassicaceae no 1 0.999 0
## 69_16S lineage_II Brassicaceae no 1 0.749 0
## 70_16S lineage_II Brassicaceae no 1 1.030 0
## 71_16S lineage_II Brassicaceae no 1 NA 1
## 72_16S lineage_II Brassicaceae no 1 NA 1
## 73_16S lineage_II Brassicaceae no 1 1.265 0
## 74_16S lineage_II Brassicaceae no 1 1.197 0
## 75_16S lineage_II Brassicaceae no 1 NA 1
## 76_16S lineage_II Brassicaceae no 1 1.275 0
## 77_16S lineage_II Brassicaceae no 1 1.175 0
## 78_16S lineage_II Brassicaceae no 1 NA 1
## 79_16S lineage_II Brassicaceae no 1 1.161 0
## 80_16S lineage_II Brassicaceae no 1 1.115 0
## 81_16S lineage_II Brassicaceae no 1 1.156 0
## 82_16S lineage_II Brassicaceae no 1 1.617 0
## 83_16S lineage_II Brassicaceae no 1 1.352 0
## 84_16S lineage_II Brassicaceae no 1 1.102 0
## 85_16S lineage_II Brassicaceae no 1 1.240 0
## 86_16S lineage_II Brassicaceae no 1 1.307 0
## 87_16S lineage_II Brassicaceae no 1 NA 1
## 88_16S lineage_II Brassicaceae no 1 NA 1
## 89_16S lineage_II Brassicaceae no 1 1.417 0
## 90_16S lineage_II Brassicaceae no 1 1.099 0
## 91_16S lineage_II Brassicaceae no 1 NA 1
## 92_16S lineage_II Brassicaceae no 1 1.474 0
## 93_16S lineage_II Brassicaceae no 1 1.579 0
## 94_16S lineage_II Brassicaceae no 1 NA 1
## 95_16S lineage_II Brassicaceae no 1 1.521 0
## 96_16S lineage_II Brassicaceae no 1 1.268 0
## Broken Flowering soil_moisture Missing Notes_1 Notes_2
## 49_16S 0 0 normal 0
## 50_16S 0 0 normal 0
## 51_16S 0 0 normal 0
## 52_16S 1 0 normal 0
## 53_16S 0 0 normal 0
## 54_16S 0 0 normal 0
## 55_16S 0 0 normal 0
## 56_16S 1 0 normal 0
## 57_16S 0 0 normal 0
## 58_16S 0 0 normal 0
## 59_16S 1 0 normal 0
## 60_16S 0 0 normal 0
## 61_16S 0 0 normal 0
## 62_16S 0 0 normal 0
## 63_16S 0 0 normal 0
## 64_16S 0 0 normal 0
## 65_16S 0 0 normal 0
## 66_16S 0 0 normal 0
## 67_16S 0 0 normal 0
## 68_16S 0 0 normal 0
## 69_16S 1 0 normal 0
## 70_16S 0 0 normal 0
## 71_16S 0 0 normal 0
## 72_16S 0 0 normal 0
## 73_16S 1 0 normal 0
## 74_16S 0 0 normal 0
## 75_16S 0 0 normal 0
## 76_16S 0 0 normal 0
## 77_16S 0 0 normal 0
## 78_16S 1 0 normal 0
## 79_16S 0 0 normal 0
## 80_16S 0 0 normal 0
## 81_16S 1 0 normal 0 SA on soil on 1st dipping
## 82_16S 0 0 normal 0
## 83_16S 0 0 normal 0
## 84_16S 0 0 normal 0
## 85_16S 0 0 normal 0
## 86_16S 0 0 normal 0
## 87_16S 0 0 normal 0
## 88_16S 1 0 normal 0
## 89_16S 0 0 normal 0
## 90_16S 0 0 normal 0
## 91_16S 0 0 normal 0
## 92_16S 0 0 normal 0
## 93_16S 0 0 normal 0
## 94_16S 0 0 normal 0
## 95_16S 0 0 normal 0
## 96_16S 0 0 normal 0
## Rainbow.batch barcode Amplicon_concentation_ngul
## 49_16S VAL12505782-A01 29.1
## 50_16S VAL12505782-B01 31.8
## 51_16S VAL12505782-C01 32.2
## 52_16S VAL12505782-D01 32.2
## 53_16S VAL12505782-E01 33.9
## 54_16S VAL12505782-F01 30.7
## 55_16S PPH 17-21_June VAL12505782-G01 28.9
## 56_16S PPH 17-21_June VAL12505782-H01 30.1
## 57_16S VAL12505782-A02 30.0
## 58_16S VAL12505782-B02 31.1
## 59_16S PPH 17-21_June VAL12505782-C02 31.7
## 60_16S VAL12505782-D02 33.8
## 61_16S VAL12505782-E02 32.0
## 62_16S PPH 17-21_June VAL12505782-F02 32.1
## 63_16S VAL12505782-G02 33.5
## 64_16S VAL12505782-H02 35.9
## 65_16S VAL12505782-A03 30.7
## 66_16S VAL12505782-B03 30.9
## 67_16S VAL12505782-C03 32.3
## 68_16S VAL12505782-D03 33.4
## 69_16S VAL12505782-E03 31.7
## 70_16S VAL12505782-F03 29.1
## 71_16S PPH 17-21_June VAL12505782-G03 29.4
## 72_16S Agros 1st batch VAL12505782-H03 28.9
## 73_16S VAL12505782-A04 29.7
## 74_16S VAL12505782-B04 31.9
## 75_16S PPH 17-21_June VAL12505782-C04 31.8
## 76_16S VAL12505782-D04 28.8
## 77_16S VAL12505782-E04 33.6
## 78_16S PPH 17-21_June VAL12505782-F04 31.0
## 79_16S VAL12505782-G04 28.1
## 80_16S VAL12505782-H04 28.3
## 81_16S VAL12505782-A05 32.5
## 82_16S VAL12505782-B05 30.1
## 83_16S VAL12505782-C05 30.8
## 84_16S VAL12505782-D05 31.1
## 85_16S VAL12505782-E05 33.2
## 86_16S VAL12505782-F05 30.8
## 87_16S PPH 17-21_June VAL12505782-G05 29.8
## 88_16S PPH 17-21_June VAL12505782-H05 30.1
## 89_16S VAL12505782-A06 29.5
## 90_16S VAL12505782-B06 30.8
## 91_16S Agros 1st batch VAL12505782-C06 32.5
## 92_16S VAL12505782-D06 33.0
## 93_16S VAL12505782-E06 34.1
## 94_16S PPH 17-21_June VAL12505782-F06 33.2
## 95_16S VAL12505782-G06 32.3
## 96_16S VAL12505782-H06 32.0
## library_sizes_prefiltering Mitochondria_reads Plastid_reads
## 49_16S 116195 6573 27990
## 50_16S 123590 7282 36998
## 51_16S 113057 7938 35448
## 52_16S 142608 14650 64867
## 53_16S 152248 14715 77408
## 54_16S 181974 18272 73214
## 55_16S 127041 3317 13972
## 56_16S 85303 3994 17840
## 57_16S 128903 8443 42877
## 58_16S 94056 1622 7398
## 59_16S 124510 5566 32097
## 60_16S 120863 15075 57324
## 61_16S 139780 8013 46233
## 62_16S 95978 3109 13858
## 63_16S 121338 6860 28353
## 64_16S 81246 3107 14097
## 65_16S 159878 10964 52030
## 66_16S 135297 3842 23341
## 67_16S 112635 6132 33454
## 68_16S 134955 9353 47001
## 69_16S 154678 10334 53780
## 70_16S 134113 4307 20843
## 71_16S 113923 4235 17826
## 72_16S 115794 4086 18045
## 73_16S 134089 2611 10743
## 74_16S 137066 6384 39736
## 75_16S 118530 6177 29354
## 76_16S 185816 15673 77683
## 77_16S 134286 13365 50772
## 78_16S 114245 1990 10657
## 79_16S 117978 6277 28828
## 80_16S 111556 2097 8014
## 81_16S 107011 2407 12219
## 82_16S 95294 2415 9354
## 83_16S 115787 3798 15422
## 84_16S 90829 2414 15303
## 85_16S 93732 3805 18119
## 86_16S 126500 7946 35750
## 87_16S 111569 3965 16313
## 88_16S 101406 2269 9562
## 89_16S 163241 11136 45104
## 90_16S 108694 1933 8411
## 91_16S 103902 3489 19724
## 92_16S 115149 2759 10647
## 93_16S 91036 3239 15840
## 94_16S 82835 880 2817
## 95_16S 86713 3390 13844
## 96_16S 122287 5320 21564
## Host_DNA_n_reads Host_DNA_contamination_pct library_size is.neg
## 49_16S 34563 30.078322 80347 FALSE
## 50_16S 44280 36.016105 78665 FALSE
## 51_16S 43386 38.762765 68541 FALSE
## 52_16S 79517 56.177894 62028 FALSE
## 53_16S 92123 60.978322 58952 FALSE
## 54_16S 91486 50.877564 88323 FALSE
## 55_16S 17289 13.719142 108727 FALSE
## 56_16S 21834 25.781084 62856 FALSE
## 57_16S 51320 40.085608 76706 FALSE
## 58_16S 9020 9.659559 84359 FALSE
## 59_16S 37663 30.450249 86024 FALSE
## 60_16S 72399 60.303856 47658 FALSE
## 61_16S 54246 39.189140 84175 FALSE
## 62_16S 16967 17.899567 77805 FALSE
## 63_16S 35213 29.209317 85341 FALSE
## 64_16S 17204 21.337765 63419 FALSE
## 65_16S 62994 39.681260 95756 FALSE
## 66_16S 27183 20.314473 106628 FALSE
## 67_16S 39586 35.396790 72245 FALSE
## 68_16S 56354 42.031699 77721 FALSE
## 69_16S 64114 41.882129 88960 FALSE
## 70_16S 25150 19.080784 106658 FALSE
## 71_16S 22061 19.527675 90911 FALSE
## 72_16S 22131 19.259253 92780 FALSE
## 73_16S 13354 10.110845 118722 FALSE
## 74_16S 46120 33.913760 89865 FALSE
## 75_16S 35531 30.293807 81741 FALSE
## 76_16S 93356 50.726480 90573 FALSE
## 77_16S 64137 48.089165 69225 FALSE
## 78_16S 12647 11.149313 100770 FALSE
## 79_16S 35105 30.369223 80452 FALSE
## 80_16S 10111 9.167483 100181 FALSE
## 81_16S 14626 13.838192 91067 FALSE
## 82_16S 11769 12.457923 82699 FALSE
## 83_16S 19220 16.797616 95199 FALSE
## 84_16S 17717 19.733794 72063 FALSE
## 85_16S 21924 23.586875 71023 FALSE
## 86_16S 43696 34.880342 81567 FALSE
## 87_16S 20278 18.316653 90422 FALSE
## 88_16S 11831 11.849604 88011 FALSE
## 89_16S 56240 34.948609 104479 FALSE
## 90_16S 10344 9.644755 96906 FALSE
## 91_16S 23213 22.540395 79771 FALSE
## 92_16S 13406 11.808541 100120 FALSE
## 93_16S 19079 21.151650 71122 FALSE
## 94_16S 3697 4.506833 78334 FALSE
## 95_16S 17234 20.068237 68638 FALSE
## 96_16S 26884 22.212124 94149 FALSE4.4 - run custom function on list of phyloseq objects
lapply (list apply) will apply a function over a list. as we have a list of phyloseq objects now, it will be easy to produce several matrixes of heat trees. when working on lists of 33 species we learned that 33 plots are hardly helpful. still, the code and the concept (make a custom function that uses a phyloseq object as input, then run over a list with lapply) can be very useful on your own analysis
# are you new to lapply? see here how it works. you firt provide a list, and then a function you will use independently on each element x of your list. here we siply count the number of taxa of each of the 3 phyloseq objects in the list
lapply(ps_l, function(x)
ntaxa(x))## $At
## [1] 963
##
## $Bo_M
## [1] 994
##
## $It
## [1] 988# run the custom function over a list of phyloseq objects... it can take a moment
heat_tree_stress_l<-lapply(ps_l, function(x)
phyloseq_to_heat_tree_matrix (ps_object = x, sample_group = "Stress"))QUESTION BREAK
5.0 - adding external data to the heat trees
What if we want to visualize other types of taxa-associated data, like p values from deseq2, importance in random forest predictions, distances in an ordination, or degree in a network? You can do that, as long as the vector of values you use as node_size or node_colour have the same lenght as the number of taxon names you are plotting. You can for example add another data layer to the taxmap object, or provide data from an independent df as the argument of node_size or node_colour.
5.1 - check some input arguments of a heat tree
TO explore this, lets first check some of the taxmap object structure, then create some random data and add it to the heat tree
# let's review one of the more basic trees.
taxmap_obj %>%
heat_tree(node_label = taxon_names,
node_size = n_obs,
node_color = n_obs,
layout = "davidson-harel",
initial_layout = "reingold-tilford")
#let's review what is actually used as input for node size and color
n_obs(taxmap_obj)## ab ac ad ae af ag ah ai aj ak al am an ap aq ar
## 1000 574 102 84 79 59 15 11 3 3 18 21 8 14 4 1
## as at au av aw ax ay az ba bb bc bd be bf bg bh
## 1 1 359 102 215 64 23 57 13 11 24 3 3 18 18 8
## bj bk bl bm bn bo bp bq br bs bt bu bv bw bx by
## 8 4 2 4 2 5 2 14 24 3 1 1 3 4 1 1
## bz ca cb cc cd ce cf cg ch ci cj ck cl cm cn co
## 1 272 8 53 77 9 82 32 10 62 15 8 57 11 21 1
## cp cq cr cs ct cu cv cw cx cy cz da db dc de df
## 5 17 17 1 6 1 9 3 3 6 8 5 18 8 8 14
## dg dh di dj dk dl dm dn do dp dq dr ds dt du dv
## 2 4 3 2 4 8 2 2 4 2 5 22 8 5 5 2
## dw dx dy dz ea eb ec ed ee ef eg eh ei ej ek el
## 7 1 3 9 6 3 3 2 1 1 1 2 5 1 1 2
## em en eo ep eq er es et eu ew ex ey ez fa fc fd
## 3 1 2 3 1 2 1 1 1 1 1 1 1 1 100 8
## fe ff fg fh fi fj fk fl fm fn fo fp fq fr fs ft
## 52 77 9 25 111 29 31 4 3 44 7 9 18 4 6 57
## fu fv fw fx fy fz ga gb gc gd ge gf gg gh gi gj
## 11 21 1 5 15 4 17 1 6 1 9 3 3 6 8 14
## gk gl gm gn gp gq gr gs gt gu gv gw gx gy gz ha
## 5 16 4 7 4 8 14 19 2 1 3 2 4 4 4 5
## hb hc hd he hf hg hh hi hj hk hl hm hn ho hp hq
## 8 2 10 3 2 2 2 2 2 8 4 2 8 3 5 2
## hr hs ht hu hv hw hx hy hz ia ib ic id ie if ig
## 14 1 1 1 3 2 9 6 3 3 1 1 3 2 1 1
## ih ii ij ik il im in io ip iq ir it iu iv iw ix
## 1 2 5 1 1 3 4 2 2 3 3 3 1 2 3 1
## iy iz ja jb jc jd je jf jg ji jj jk jl jm jn jp
## 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1
## jq jr js jt ju jv jw jy ka kb kc kh kj kk km kn
## 6 8 30 36 8 11 13 67 5 1 1 4 3 2 5 4
## ko kp kq kr ks kt ku kv kw kx ky kz la lb lc ld
## 4 10 9 2 3 4 22 3 4 6 7 1 2 9 1 8
## le lf lg lh li lj lk ll lm ln lo lp lq lr ls lt
## 4 24 27 2 2 1 1 2 5 12 3 5 3 4 9 1
## lu lw lx ly lz ma mb mc me mf mg mh mi mj mk ml
## 1 1 9 3 3 3 3 4 6 6 10 1 2 5 16 4
## mm mn mo mp mq ms mt mv mw my mz na nb nc nd ne
## 2 3 2 6 2 2 8 19 3 1 1 9 3 2 7 2
## nf ng nh ni nj nk nl nm nn no np nq nr ns nt nu
## 3 3 3 5 4 4 2 3 8 1 3 1 4 9 3 2
## nv nw nx ny nz oa ob oc od oe of og oh oi oj ok
## 2 2 10 3 1 2 2 1 4 12 10 1 1 2 2 1
## ol om on oo op oq or os ot ou ov ow ox oy oz pa
## 6 1 2 4 1 1 7 3 2 5 2 14 2 3 1 1
## pb pc pd pe pf pg ph pi pj pk pl pm pn po pp pq
## 1 1 1 3 1 2 9 4 1 1 6 3 1 3 1 1
## pr ps pt pv pw py pz qb qc qd qe qf qg qh qj qk
## 1 1 3 5 2 1 1 1 1 2 3 1 1 3 2 3
## ql qm qn qo qp qq qr qs qt qu qv qx qy qz ra rb
## 1 1 2 2 2 2 4 2 3 1 1 1 1 1 2 5
## rc re rf rg rh ri rj rk rl rn ro rp rq rr rs rt
## 2 3 1 1 1 1 1 1 2 1 2 1 1 1 1 1
## ru rv rw rx ry rz sa sb sc sd se sf sg sh sj sk
## 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1
## sl sm sn so sp sq sr st su
## 1 1 1 1 1 1 1 1 1# ab, es, ff etc all refer to specific nodes int he tree taxonomic groups. the number referts to how many sequences belong to that taxonomy (all 1000 sequences, are part of Bacteria "ab", 574 are Proteobacteria "ac")
taxmap_obj$taxa[1:10]## $ab
## <Taxon>
## name: Bacteria
## rank: Kingdom
## id: none
## authority: none
##
## $ac
## <Taxon>
## name: Proteobacteria
## rank: Phylum
## id: none
## authority: none
##
## $ad
## <Taxon>
## name: Bacteroidota
## rank: Phylum
## id: none
## authority: none
##
## $ae
## <Taxon>
## name: Actinobacteriota
## rank: Phylum
## id: none
## authority: none
##
## $af
## <Taxon>
## name: Acidobacteriota
## rank: Phylum
## id: none
## authority: none
##
## $ag
## <Taxon>
## name: Gemmatimonadota
## rank: Phylum
## id: none
## authority: none
##
## $ah
## <Taxon>
## name: Myxococcota
## rank: Phylum
## id: none
## authority: none
##
## $ai
## <Taxon>
## name: Firmicutes
## rank: Phylum
## id: none
## authority: none
##
## $aj
## <Taxon>
## name: Methylomirabilota
## rank: Phylum
## id: none
## authority: none
##
## $ak
## <Taxon>
## name: Armatimonadota
## rank: Phylum
## id: none
## authority: noneso if you have a vector from the same lenght of n_obs(taxmap_obj) with data from other analysis, you can visualize other outputs in a heat tree! lets prepare a df that will add new, random data
5.2 - extract taon infor from the heatmap object
let’s extract the taxon ides from the metacoder object
then create new (random) data, and add this random data to the heat tree
#extract the names of the taxonomies in the heat tree, accoding the ab ac etc order
taxon_id_metacoder<-lapply(taxmap_obj$taxa, function (x)
x$get_name())%>%
map(1)
# now turn that list into a df
taxon_id_metacoder<-do.call(rbind.data.frame, map(taxon_id_metacoder,1))
# and change column name
colnames(taxon_id_metacoder)<-"taxa_id"
#check output
head(taxon_id_metacoder)## taxa_id
## 1 Bacteria
## 2 Proteobacteria
## 3 Bacteroidota
## 4 Actinobacteriota
## 5 Acidobacteriota
## 6 Gemmatimonadota5.3 - check some input arguments of a heat tree
then create new (random) data, adn add it to the taxon information you extrated
#make up some random data called new_data1
set.seed(1)
new_data1<-c(runif(n=100, min=1, max=10),
runif(n=200, min=5, max=15),
runif(n=100, min=10, max=20),
runif(n=57, min=20, max=25))
#make up some random data called new_data2
set.seed(1)
new_data2<-c(runif(n=57, min=1000, max=2000),
runif(n=200, min=600, max=1000),
runif(n=200, min=200, max=500))
# add new (random example) data into the df
taxon_id_metacoder$new_analysis_output1<-new_data1
taxon_id_metacoder$new_analysis_output2<-new_data2
#this is the df we created using data external from metacoder
taxon_id_metacoder[1:10,]## taxa_id new_analysis_output1 new_analysis_output2
## 1 Bacteria 3.389578 1265.509
## 2 Proteobacteria 4.349115 1372.124
## 3 Bacteroidota 6.155680 1572.853
## 4 Actinobacteriota 9.173870 1908.208
## 5 Acidobacteriota 2.815137 1201.682
## 6 Gemmatimonadota 9.085507 1898.390
## 7 Myxococcota 9.502077 1944.675
## 8 Firmicutes 6.947180 1660.798
## 9 Methylomirabilota 6.662026 1629.114
## 10 Armatimonadota 1.556076 1061.7865.4 - make a new heat tree with the enw random data
the size of the node will relate to the first column of the new dataframe. the color of the node will related the the second column of the new dataframe
in a real case, you would have your valuable data, taxon by taxon, in a dataframe with simialr structure
# add the new data into the heat tree!
taxmap_obj %>%
heat_tree(node_label = taxon_names,
node_size = taxon_id_metacoder$new_analysis_output1,
node_color = taxon_id_metacoder$new_analysis_output2,
node_size_axis_label = "Size: new data 2",
node_color_axis_label = "Color: new data 1",
layout = "davidson-harel",
initial_layout = "reingold-tilford")
Of course, there are countless ways you can integrate different pieces of data together - such as by matching the taxonomies ab, ac, ad etc; the names of the taxa like “f__Burkholderiales” etc. Note that you won’t find sample code for this - adding external data - in the metacoder package documentation.
6.0 - adding results of a fisher tests to a heat tree
In the MeJA applications pilot were we tested different MeJA concentrations, we run different analysis that highlight taxa as “important”: predictors for stress in random forest, keystone nodes in networks, and differentially abudnant ASVs in treatment-control comparisons. to select which of the taxonomies of these “important” taxa to focus on, we performed a fisher test to check if the proportions of a taxonomy are similar between the importnat ASVs and the ASVs that were not defined as important
6.1 - load important taxa names, create new ps object
these ASVs listed in “imp_asv_list.Rdata” were highlighted as differential abundant due to stress OR important in random forest predictions for stress OR network keystone/connector/hub of the species in a more complete dataset. I call these the “important”ASVs.
after we load these ASVs anmes, we create a list of new ps objects by running phyloseq::prune_taxa (a funcntion that selects taxa in a ps object according a character vector) with base::mapply (a function that runs a function on two lists simultaneously)
# load a list of ASV names.
load( file="./data/imp_asv_list.Rdata")
imp_asv_list # as you see, this is just a list of taxa## $At
## [1] "bASV_9" "bASV_29" "bASV_71" "bASV_97" "bASV_108"
## [6] "bASV_155" "bASV_169" "bASV_175" "bASV_314" "bASV_391"
## [11] "bASV_443" "bASV_674" "bASV_776" "bASV_1058" "bASV_1085"
## [16] "bASV_1526" "bASV_1722" "bASV_2147" "bASV_4416" "bASV_1008"
## [21] "bASV_1035" "bASV_105" "bASV_1054" "bASV_106" "bASV_111"
## [26] "bASV_115" "bASV_117" "bASV_119" "bASV_12" "bASV_120"
## [31] "bASV_1244" "bASV_13" "bASV_132" "bASV_133" "bASV_134"
## [36] "bASV_138" "bASV_1400" "bASV_1421" "bASV_143" "bASV_154"
## [41] "bASV_158" "bASV_162" "bASV_165" "bASV_166" "bASV_190"
## [46] "bASV_192" "bASV_200" "bASV_202" "bASV_205" "bASV_21"
## [51] "bASV_218" "bASV_224" "bASV_226" "bASV_233" "bASV_234"
## [56] "bASV_254" "bASV_274" "bASV_279" "bASV_280" "bASV_289"
## [61] "bASV_292" "bASV_30" "bASV_31" "bASV_319" "bASV_32"
## [66] "bASV_333" "bASV_337" "bASV_339" "bASV_347" "bASV_36"
## [71] "bASV_369" "bASV_37" "bASV_38" "bASV_39" "bASV_395"
## [76] "bASV_40" "bASV_406" "bASV_424" "bASV_4245" "bASV_428"
## [81] "bASV_439" "bASV_442" "bASV_458" "bASV_46" "bASV_48"
## [86] "bASV_493" "bASV_50" "bASV_514" "bASV_515" "bASV_517"
## [91] "bASV_530" "bASV_531" "bASV_557" "bASV_573" "bASV_58"
## [96] "bASV_59" "bASV_599" "bASV_60" "bASV_605" "bASV_61"
## [101] "bASV_622" "bASV_63" "bASV_638" "bASV_64" "bASV_65"
## [106] "bASV_66" "bASV_698" "bASV_7" "bASV_709" "bASV_75"
## [111] "bASV_76" "bASV_762" "bASV_81" "bASV_83" "bASV_878"
## [116] "bASV_892" "bASV_90" "bASV_964" "bASV_98" "bASV_99"
## [121] "bASV_153" "bASV_845" "bASV_1590" "bASV_2049" "bASV_889"
## [126] "bASV_6729" "bASV_10033" "bASV_11577" "bASV_12011" "bASV_22991"
## [131] "bASV_24722" "bASV_27301" "bASV_35730" "bASV_38129" "bASV_67851"
## [136] "bASV_28909" "bASV_7928"
##
## $Bo_M
## [1] "bASV_18" "bASV_29" "bASV_53" "bASV_66" "bASV_67" "bASV_85"
## [7] "bASV_143" "bASV_226" "bASV_286" "bASV_291" "bASV_339" "bASV_417"
## [13] "bASV_418" "bASV_550" "bASV_814" "bASV_999" "bASV_1018" "bASV_1238"
## [19] "bASV_1305" "bASV_1464" "bASV_2760" "bASV_2999" "bASV_3347" "bASV_3617"
## [25] "bASV_102" "bASV_104" "bASV_106" "bASV_110" "bASV_112" "bASV_115"
## [31] "bASV_118" "bASV_12" "bASV_123" "bASV_1245" "bASV_13" "bASV_132"
## [37] "bASV_134" "bASV_1346" "bASV_137" "bASV_139" "bASV_145" "bASV_146"
## [43] "bASV_15" "bASV_164" "bASV_166" "bASV_170" "bASV_174" "bASV_181"
## [49] "bASV_195" "bASV_196" "bASV_203" "bASV_209" "bASV_214" "bASV_223"
## [55] "bASV_230" "bASV_244" "bASV_251" "bASV_255" "bASV_261" "bASV_266"
## [61] "bASV_282" "bASV_309" "bASV_310" "bASV_321" "bASV_326" "bASV_345"
## [67] "bASV_349" "bASV_355" "bASV_358" "bASV_376" "bASV_404" "bASV_439"
## [73] "bASV_45" "bASV_474" "bASV_48" "bASV_481" "bASV_542" "bASV_55"
## [79] "bASV_58" "bASV_590" "bASV_591" "bASV_613" "bASV_62" "bASV_64"
## [85] "bASV_73" "bASV_731" "bASV_754" "bASV_763" "bASV_780" "bASV_793"
## [91] "bASV_839" "bASV_91" "bASV_97" "bASV_98" "bASV_136" "bASV_320"
## [97] "bASV_1185" "bASV_278" "bASV_594" "bASV_1112" "bASV_316" "bASV_664"
## [103] "bASV_775"
##
## $It
## [1] "bASV_11" "bASV_46" "bASV_54" "bASV_55" "bASV_58"
## [6] "bASV_85" "bASV_102" "bASV_109" "bASV_129" "bASV_190"
## [11] "bASV_216" "bASV_223" "bASV_259" "bASV_314" "bASV_330"
## [16] "bASV_400" "bASV_520" "bASV_662" "bASV_716" "bASV_729"
## [21] "bASV_766" "bASV_776" "bASV_838" "bASV_1134" "bASV_1232"
## [26] "bASV_1469" "bASV_1846" "bASV_2793" "bASV_1019" "bASV_1039"
## [31] "bASV_111" "bASV_116" "bASV_12" "bASV_1228" "bASV_124"
## [36] "bASV_1242" "bASV_142" "bASV_149" "bASV_15" "bASV_1532"
## [41] "bASV_154" "bASV_160" "bASV_161" "bASV_162" "bASV_175"
## [46] "bASV_180" "bASV_182" "bASV_1867" "bASV_187" "bASV_1959"
## [51] "bASV_20" "bASV_207" "bASV_21" "bASV_215" "bASV_217"
## [56] "bASV_219" "bASV_230" "bASV_246" "bASV_249" "bASV_25"
## [61] "bASV_261" "bASV_270" "bASV_274" "bASV_277" "bASV_280"
## [66] "bASV_312" "bASV_32" "bASV_323" "bASV_350" "bASV_362"
## [71] "bASV_369" "bASV_372" "bASV_384" "bASV_392" "bASV_40"
## [76] "bASV_407" "bASV_425" "bASV_438" "bASV_44" "bASV_443"
## [81] "bASV_45" "bASV_451" "bASV_476" "bASV_477" "bASV_496"
## [86] "bASV_504" "bASV_508" "bASV_52" "bASV_569" "bASV_589"
## [91] "bASV_590" "bASV_593" "bASV_601" "bASV_602" "bASV_62"
## [96] "bASV_682" "bASV_69" "bASV_691" "bASV_705" "bASV_725"
## [101] "bASV_76" "bASV_768" "bASV_812" "bASV_840" "bASV_935"
## [106] "bASV_946" "bASV_210" "bASV_1006" "bASV_515" "bASV_2687"
## [111] "bASV_473" "bASV_5751" "bASV_4308" "bASV_8032" "bASV_30283"
## [116] "bASV_59443" "bASV_604" "bASV_1093" "bASV_394" "bASV_1002"# filter your list of phyloliseq objects to only contain the ASVs defined as "importat"
imp_ASV_ps_l<-mapply (function (list_1,list_2) #mapply will let you manipulate 2 or more lists at once
prune_taxa(taxa = list_1, x = list_2), #here, x as the name of an argument of prune_taxa, and refers to a phyloseq object
list_1 = imp_asv_list, # here you define what R object is list_1
list_2 = ps_l, # here you define what R object is list_2
SIMPLIFY = FALSE)
# this ps object only has "important" ASVs
imp_ASV_ps_l## $At
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 114 taxa and 48 samples ]
## sample_data() Sample Data: [ 48 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 114 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 114 reference sequences ]
##
## $Bo_M
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 92 taxa and 48 samples ]
## sample_data() Sample Data: [ 48 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 92 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 92 reference sequences ]
##
## $It
## phyloseq-class experiment-level object
## otu_table() OTU Table: [ 102 taxa and 47 samples ]
## sample_data() Sample Data: [ 47 samples by 44 sample variables ]
## tax_table() Taxonomy Table: [ 102 taxa by 8 taxonomic ranks ]
## refseq() DNAStringSet: [ 102 reference sequences ]6.2 - define the funciton that calculates fisher tests and heat trees
If we have the time, we explore details for these functions. their description and comments should be fairly sufficiency
the fisher_all_taxa_groups function requires as input: 1) a phyloseq object that contains your “important” taxa 2) a phyloseq objects that contains all your taxa
the fisher_to_heatTree function requires as input 1) the output of the fisher_all_taxa_groups function 2) a phyloseq object that contains your “important” taxa
#define function that calculates proportion tests between 2 phyloseq objects
fisher_all_taxa_groups<-function(ps_important_taxa, ps_all_taxa){
#**********************************************#
############# fisher_all_taxa_groups ################
#**********************************************#
# this function takes 2 phyloseq objects as 2 arguments:
# ps_important_taxa = a subset of imporntant taxa, such as ASVs tagged as important by differential abundance, random forest, and netowrk analysis
# ps_all_taxa = the full phyloseq objects from where you obtained the imporntat subset (and likely your input for differential abundance, random forest, and netowork analysis)
# Then it runs a fisher test, comparing the proportions of every taxonomic level accuting more than twice in both datasets
# it's just a test to compare proportions - is 6 out of 17 a similar proportion to 193 out of 2243?
# first, get the taxonomic groups of the taxa defined as important
#this will get us a list of (taxa_level) that appears in the important subset more than once
imp_phylum_l<-as.character(tax_table(ps_important_taxa)[,"Phylum"]) # gets a char vector of "families" shown as relevant
imp_phylum_l<-imp_phylum_l[imp_phylum_l != "p__uncultured"] # removes any taxonomy set as "uncultured"
imp_phylum_l<-names(which(table(imp_phylum_l)>2))%>% # get names of taxa that occur ate least 1 time NOTE: CHANGED FROM >2
na.omit()%>% #remove NA from classifications
unique()%>% #dereplicates repetitive values (avoids "f__Chitinophagaceae" "f__Chitinophagaceae" "f__Oxalobacteraceae")
as.list(c()) # save the dereplicated values as a list
# now, perfom the same as above for every taxa level... it's hard-coded, but it works well enough. Pedro tried automating this and gave up after a few hours
imp_class_l<-as.character(tax_table(ps_important_taxa)[,"Class"])
imp_class_l<-imp_class_l[imp_class_l != "c__uncultured"]
imp_class_l<-names(which(table(imp_class_l)>2))%>%
na.omit()%>%
unique()%>%
as.list(c())
imp_order_l<-as.character(tax_table(ps_important_taxa)[,"Order"])
imp_order_l<-imp_order_l[imp_order_l != "o__uncultured"]
imp_order_l<-names(which(table(imp_order_l)>2))%>%
na.omit()%>%
unique()%>%
as.list(c())
imp_fam_l<-as.character(tax_table(ps_important_taxa)[,"Family"])
imp_fam_l<-imp_fam_l[imp_fam_l != "f__uncultured"]
imp_fam_l<-names(which(table(imp_fam_l)>2))%>%
na.omit()%>%
unique()%>%
as.list(c())
imp_genus_l<-as.character(tax_table(ps_important_taxa)[,"Genus"])
imp_genus_l<-imp_genus_l[imp_genus_l != "g__uncultured"]
imp_genus_l<-names(which(table(imp_genus_l)>2))%>%
na.omit()%>%
unique()%>%
as.list(c())
# second, get the number of taxa occuring in each taxonomic group, within the imporntat taxa subset
# note: using phyloseq::subset_taxa with a for loop will cause issues as your taxa is intepreted as "i"! to avoid this, use phyloseq::prune_taxa instead
#make one empty lists to store results
target_in_important_n<-list()
# obtain the number of reads of the target taxa in the important subset
for(i in imp_phylum_l) { #for every Phylum "i" with representatives defined as important....
target_in_important_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_important_taxa)[,"Phylum"] %in% i, # get only the taxa that belong to that particular phylum "i", then define the number of taxa in there, then save it in the empty list we just made to store the results
x = ps_important_taxa))
}
# now, perfom the same as above for every taxa level... it's hard-coded, but it works well enough. Pedro tried automating this and gave up after a few hours
for(i in imp_class_l) {
target_in_important_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_important_taxa)[,"Class"] %in% i,
x = ps_important_taxa))
}
for(i in imp_order_l) {
target_in_important_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_important_taxa)[,"Order"] %in% i,
x = ps_important_taxa))
}
for(i in imp_fam_l) {
target_in_important_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_important_taxa)[,"Family"] %in% i,
x = ps_important_taxa))
}
for(i in imp_genus_l) {
target_in_important_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_important_taxa)[,"Genus"] %in% i,
x = ps_important_taxa))
}
# third, get the number of taxa occuring in each taxonomic group, within the full dataset
#make one empty lists to store results
target_in_all_n<-list()
# obtain the number of reads of the target taxa in the important subset
for(i in imp_phylum_l) { #for every Phylum "i" with representatives defined as important....
target_in_all_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_all_taxa)[,"Phylum"] %in% i, # get only the taxa that belong to that particular phylum "i", then define the number of taxa in there, then save it in the empty list we just made to store the results
x = ps_all_taxa))
}
# now, perfom the same as above for every taxa level... it's hard-coded, but it works well enough. Pedro tried automating this and gave up after a few hours
for(i in imp_class_l) {
target_in_all_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_all_taxa)[,"Class"] %in% i,
x = ps_all_taxa))
}
for(i in imp_order_l) {
target_in_all_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_all_taxa)[,"Order"] %in% i,
x = ps_all_taxa))
}
for(i in imp_fam_l) {
target_in_all_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_all_taxa)[,"Family"] %in% i,
x = ps_all_taxa))
}
for(i in imp_genus_l) {
target_in_all_n[i]<-phyloseq::ntaxa(prune_taxa(taxa = tax_table(ps_all_taxa)[,"Genus"] %in% i,
x = ps_all_taxa))
}
# now, get the total number of taxa in the imporntat subset and in the full dataset
# all important taxa
all_taxa_in_important_n<-phyloseq::ntaxa(ps_important_taxa)
#all taxa
all_taxa_in_all_n<-phyloseq::ntaxa(ps_all_taxa)
# now perform fisher tests over lists; check online tutorials for fisher.test() if need
# this contigency table: (summed marginal totals is equal to the total number of taxa the the full object)
fisher_result<-mapply(function (target_in_important_n,target_in_all_n)
fisher.test(matrix(c(target_in_important_n,
all_taxa_in_important_n - target_in_important_n,
target_in_all_n - target_in_important_n,
all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n),
ncol=2),alternative = "greater" ),
target_in_all_n = target_in_all_n,
target_in_important_n = target_in_important_n,
SIMPLIFY = FALSE)
return(fisher_result)
}
#define function that puts fisher tests in metacoder heat trees
fisher_to_heatTree<-function(fisher_output, ps_important_taxa){
#**********************************************#
############# fisher_to_heatTree ################
#**********************************************#
# this function takes 1 phyloseq object and the putput of the fisher_all_taxa_groups() function as 2 arguments:
# fisher_output = The output of the function defined above, fisher_all_taxa_groups
# ps_important_taxa = a phtloseq object with the taxa classified as "important". it is the same input as you used in the function fisher_all_taxa_groups
# this function will:
# 1) create a taxmap object from the phyloseq object
# 2) extract the p values from the fisher test and apply an fdr correction
# 3) extract the taxa names form the heat tree, and match it to the p values of the fisher test
# 4) extract the odds ratio from the fisher test and add it to the extracted p values adn taxonomies
# 5) creates a heat map of the important taxa, with colour for adjusted p values and node size for odds ratio
#######################################
######## make metacoder object ########
#######################################
imp_heat_ps<-ps_important_taxa
#remove unecessary taxonomic indo (dada2id, "S__" and" above_selected)
tax_table(imp_heat_ps)<-tax_table(imp_heat_ps)[,1:6]
# let's remove the "r__"ranks from the taxonomy, they can be useful but will pollute our plot
#tax_table(imp_heat_ps)[, colnames(tax_table(imp_heat_ps))] <- gsub(pattern = "[a-z]__", # regular expression pattern to search for
# x = tax_table(imp_heat_ps)[, colnames(tax_table(imp_heat_ps))], # "df"
# replacement = "") # replacement for pattern
# transform from phyloseq to taxmap object
imp_heat<-parse_phyloseq(imp_heat_ps)
#######################################
######## aplly fdr to fisher ########
#######################################
#apply FDR correction to the p values
#single df with all p values
pvector<-do.call(rbind.data.frame, map(fisher_output,1))
# adjust the p value with fdr, then save as a list
adjusted_p<-p.adjust(p = pvector[[1]],
method = "fdr")%>%
as.list()
# adjust names
names(adjusted_p)<-names(fisher_output)
#this is the name that mustch match our fisher p list
taxon_id_metacoder<-lapply(imp_heat$taxa, function (x)
x$get_name())%>%
map(1)
# now turn that list into a df
taxon_id_metacoder<-do.call(rbind.data.frame, map(taxon_id_metacoder,1))
# and change column name
colnames(taxon_id_metacoder)<-"taxa_id"
# truns the p values into a dataframe
adjusted_p_input<-as.data.frame(t(as.data.frame(adjusted_p)))%>%
rownames_to_column()
#change column names
colnames(adjusted_p_input)<-c("taxa_id", "fdr_p")
# now join both df
fdr_for_heatTree<-left_join(taxon_id_metacoder,
adjusted_p_input,
by = "taxa_id")
#######################################################################
################### add fold changes! ########################################
#######################################################################
# get odds ratio for each taxa
odd_list<- map(fisher_output,3)%>%
map(1)
# truns the p values into a dataframe
odd_list<-as.data.frame(t(as.data.frame(odd_list)))%>%
rownames_to_column()
#change column names
colnames(odd_list)<-c("taxa_id", "odds_ratio")
# now join both df
fisher_for_heatTree<-left_join(fdr_for_heatTree,
odd_list,
by = "taxa_id")
#NAs will crash metadore. let's change them with 0.9999 for now
fisher_for_heatTree[is.na(fisher_for_heatTree)]<-"1"
#change structure to numeric
fisher_for_heatTree$fdr_p<-as.numeric(fisher_for_heatTree$fdr_p)
fisher_for_heatTree$odds_ratio<-as.numeric(fisher_for_heatTree$odds_ratio)
#now let's dim p values above 0.1, or else we can get counfounded
#fisher_for_heatTree$fdr_p[fisher_for_heatTree$fdr_p>0.1]<-1
#######################################################################
############### now plot the heat tree ###############
#######################################################################
set.seed(1)
output<- heat_tree(imp_heat,
node_size = fisher_for_heatTree$odds_ratio, # n_obs is a function that calculates, in this case, the number of OTUs per taxon
node_color = fisher_for_heatTree$fdr_p,
node_label = taxon_names,
node_size_axis_label = "Size: oods_ratio",
node_color_interval = c(0, 0.15),
edge_color_interval = c(0, 0.15),
node_color_range = c("darkgreen", "seagreen", "yellowgreen", "grey"),
edge_color_range = c("darkgreen", "seagreen", "yellowgreen", "grey"),
node_color_axis_label = "Color: FDR-adjusted p",
layout = "davidson-harel", # The primary layout algorithm
initial_layout = "reingold-tilford") # The layout algorithm that initializes node locations
return(output)
}6.3 - check some of the proportions we will test
is a specific taxonomy overly frequent in the “important” dataset when compared to the taxonomies of the ASV that were NOT defined as important?
note that the phyloseq input is based on the original phyloseq object, that still contains the ranks as p__Proteobacteria, o__Rhizobiales, etc
# how many rhizobiales do we have in full set of 963 ASVs of A. thaliana?
ntaxa(physeq = subset_taxa(ps_l$At, Order == "o__Rhizobiales"))## [1] 81# how many rhizobiales do we have in the group of 114 "important" ASVs for A. thaliana?
ntaxa(physeq = subset_taxa(imp_ASV_ps_l$At, Order == "o__Rhizobiales"))## [1] 18# how many rhizobiales do we have in the set of 849 A. thaliana ASVs that were not tagged as important ?
unimp_ASV_ps_at<-prune_taxa(!(taxa_names(ps_l$At) %in% imp_asv_list$At), ps_l$At)
ntaxa(physeq = subset_taxa(unimp_ASV_ps_at, Order == "o__Rhizobiales"))## [1] 63is 18 in 114 (~15%) similar to 63 in 849 (~7%), considering we have in total 18+63 (81) rhizobiales in 114+849 (983) bASVs? if these proportions are statistically different, rhizobiales may be overrepresented in the important ASV set
6.4 - calculate prortions of the fisher test
by running the functions defined in chunk #6.2, we test the proportions stated in chunk # 6.3 - on all taxonomic levels of your input phyloseq object
# run a fisher test comparin these proportions at all taxonomic levels
fisher_output_at<-fisher_all_taxa_groups(ps_important_taxa = imp_ASV_ps_l$At,
ps_all_taxa = ps_l$At)
#check raw ouput of fisher tests for rhizobiales
fisher_output_at## $p__Acidobacteriota
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.8474
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.3153814 Inf
## sample estimates:
## odds ratio
## 0.7106417
##
##
## $p__Actinobacteriota
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.9985
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.06810393 Inf
## sample estimates:
## odds ratio
## 0.2590167
##
##
## $p__Bacteroidota
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.09193
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9037439 Inf
## sample estimates:
## odds ratio
## 1.557417
##
##
## $p__Gemmatimonadota
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.8433
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.254939 Inf
## sample estimates:
## odds ratio
## 0.684851
##
##
## $p__Myxococcota
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.09168
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.7972862 Inf
## sample estimates:
## odds ratio
## 2.752893
##
##
## $p__Proteobacteria
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.1964
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.8497712 Inf
## sample estimates:
## odds ratio
## 1.223502
##
##
## $c__Acidobacteriae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.4959
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.2916697 Inf
## sample estimates:
## odds ratio
## 1.176164
##
##
## $c__Alphaproteobacteria
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.3283
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.745213 Inf
## sample estimates:
## odds ratio
## 1.138922
##
##
## $c__Bacteroidia
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.09193
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9037439 Inf
## sample estimates:
## odds ratio
## 1.557417
##
##
## $c__Gammaproteobacteria
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.1752
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.8638619 Inf
## sample estimates:
## odds ratio
## 1.233855
##
##
## $c__Gemmatimonadetes
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.8197
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.265233 Inf
## sample estimates:
## odds ratio
## 0.7134832
##
##
## $c__Polyangia
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05783
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9483557 Inf
## sample estimates:
## odds ratio
## 3.37105
##
##
## $o__Burkholderiales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.5466
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.6699675 Inf
## sample estimates:
## odds ratio
## 0.9959746
##
##
## $o__Caulobacterales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.305
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.518229 Inf
## sample estimates:
## odds ratio
## 1.442557
##
##
## $o__Chitinophagales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.2736
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.6284454 Inf
## sample estimates:
## odds ratio
## 1.366568
##
##
## $o__Cytophagales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.2594
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.4460974 Inf
## sample estimates:
## odds ratio
## 1.876752
##
##
## $o__Flavobacteriales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05783
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9483557 Inf
## sample estimates:
## odds ratio
## 3.37105
##
##
## $o__Gammaproteobacteria_Incertae_Sedis
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05843
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9328861 Inf
## sample estimates:
## odds ratio
## 4.534428
##
##
## $o__Gemmatimonadales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.8197
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.265233 Inf
## sample estimates:
## odds ratio
## 0.7134832
##
##
## $o__Rhizobiales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.004991
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 1.345852 Inf
## sample estimates:
## odds ratio
## 2.283077
##
##
## $o__Sphingomonadales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.9913
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.08653077 Inf
## sample estimates:
## odds ratio
## 0.3304971
##
##
## $o__Xanthomonadales
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.09127
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.8852716 Inf
## sample estimates:
## odds ratio
## 1.718467
##
##
## $f__Caulobacteraceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.2804
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.5381227 Inf
## sample estimates:
## odds ratio
## 1.50201
##
##
## $f__Chitinophagaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.2555
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.6430935 Inf
## sample estimates:
## odds ratio
## 1.400058
##
##
## $f__Comamonadaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.0723
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9435397 Inf
## sample estimates:
## odds ratio
## 1.602046
##
##
## $f__Devosiaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.005974
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 2.480493 Inf
## sample estimates:
## odds ratio
## 22.69165
##
##
## $f__Gemmatimonadaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.8197
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.265233 Inf
## sample estimates:
## odds ratio
## 0.7134832
##
##
## $f__Oxalobacteraceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.3632
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.6540035 Inf
## sample estimates:
## odds ratio
## 1.158663
##
##
## $f__Rhizobiaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05559
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9708741 Inf
## sample estimates:
## odds ratio
## 2.542972
##
##
## $f__Rhodanobacteraceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.3626
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.3639173 Inf
## sample estimates:
## odds ratio
## 1.496563
##
##
## $f__Sphingomonadaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.9913
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.08653077 Inf
## sample estimates:
## odds ratio
## 0.3304971
##
##
## $f__Unknown_Family
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05843
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9328861 Inf
## sample estimates:
## odds ratio
## 4.534428
##
##
## $f__Xanthobacteraceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.12
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.7725396 Inf
## sample estimates:
## odds ratio
## 1.978932
##
##
## $f__Xanthomonadaceae
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.1163
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.8112345 Inf
## sample estimates:
## odds ratio
## 1.790011
##
##
## $g__Acidibacter
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.05843
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.9328861 Inf
## sample estimates:
## odds ratio
## 4.534428
##
##
## $`g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium`
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.1324
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.636317 Inf
## sample estimates:
## odds ratio
## 2.826685
##
##
## $g__Gemmatimonas
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.374
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.4222894 Inf
## sample estimates:
## odds ratio
## 1.35984
##
##
## $g__Lysobacter
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.1097
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.7730246 Inf
## sample estimates:
## odds ratio
## 2.229048
##
##
## $g__Massilia
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.3344
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 0.6047344 Inf
## sample estimates:
## odds ratio
## 1.247307
##
##
## $g__Niastella
##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.0196
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 1.229124 Inf
## sample estimates:
## odds ratio
## 2.805325fisher_output_at$o__Rhizobiales##
## Fisher's Exact Test for Count Data
##
## data: matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_important_n, all_taxa_in_all_n - all_taxa_in_important_n - target_in_all_n), ncol = 2)
## p-value = 0.004991
## alternative hypothesis: true odds ratio is greater than 1
## 95 percent confidence interval:
## 1.345852 Inf
## sample estimates:
## odds ratio
## 2.283077# with map() we can easely extract key values from this output, like so:
str(fisher_output_at$o__Rhizobiales) # here we see that p values are the first list element of each taxa ouput## List of 7
## $ p.value : num 0.00499
## $ conf.int : num [1:2] 1.35 Inf
## ..- attr(*, "conf.level")= num 0.95
## $ estimate : Named num 2.28
## ..- attr(*, "names")= chr "odds ratio"
## $ null.value : Named num 1
## ..- attr(*, "names")= chr "odds ratio"
## $ alternative: chr "greater"
## $ method : chr "Fisher's Exact Test for Count Data"
## $ data.name : chr "matrix(c(target_in_important_n, all_taxa_in_important_n - target_in_important_n, target_in_all_n - target_in_im"| __truncated__
## - attr(*, "class")= chr "htest"map(fisher_output_at, 1) # here we extarct the first list element of each taxa in the list (p values)## $p__Acidobacteriota
## [1] 0.8473672
##
## $p__Actinobacteriota
## [1] 0.9985258
##
## $p__Bacteroidota
## [1] 0.09193391
##
## $p__Gemmatimonadota
## [1] 0.8433388
##
## $p__Myxococcota
## [1] 0.09167539
##
## $p__Proteobacteria
## [1] 0.1964258
##
## $c__Acidobacteriae
## [1] 0.4959192
##
## $c__Alphaproteobacteria
## [1] 0.3283449
##
## $c__Bacteroidia
## [1] 0.09193391
##
## $c__Gammaproteobacteria
## [1] 0.1752416
##
## $c__Gemmatimonadetes
## [1] 0.8197096
##
## $c__Polyangia
## [1] 0.0578331
##
## $o__Burkholderiales
## [1] 0.5466162
##
## $o__Caulobacterales
## [1] 0.3049718
##
## $o__Chitinophagales
## [1] 0.2735582
##
## $o__Cytophagales
## [1] 0.2593899
##
## $o__Flavobacteriales
## [1] 0.0578331
##
## $o__Gammaproteobacteria_Incertae_Sedis
## [1] 0.0584339
##
## $o__Gemmatimonadales
## [1] 0.8197096
##
## $o__Rhizobiales
## [1] 0.004991002
##
## $o__Sphingomonadales
## [1] 0.9912935
##
## $o__Xanthomonadales
## [1] 0.09126703
##
## $f__Caulobacteraceae
## [1] 0.2803993
##
## $f__Chitinophagaceae
## [1] 0.2554614
##
## $f__Comamonadaceae
## [1] 0.07230109
##
## $f__Devosiaceae
## [1] 0.00597422
##
## $f__Gemmatimonadaceae
## [1] 0.8197096
##
## $f__Oxalobacteraceae
## [1] 0.3631943
##
## $f__Rhizobiaceae
## [1] 0.05558943
##
## $f__Rhodanobacteraceae
## [1] 0.3626101
##
## $f__Sphingomonadaceae
## [1] 0.9912935
##
## $f__Unknown_Family
## [1] 0.0584339
##
## $f__Xanthobacteraceae
## [1] 0.1200347
##
## $f__Xanthomonadaceae
## [1] 0.1163108
##
## $g__Acidibacter
## [1] 0.0584339
##
## $`g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium`
## [1] 0.1323728
##
## $g__Gemmatimonas
## [1] 0.3740159
##
## $g__Lysobacter
## [1] 0.1097332
##
## $g__Massilia
## [1] 0.3344271
##
## $g__Niastella
## [1] 0.01960319map(fisher_output_at, 3) # here we extarct the third list element of each taxa in the list (odds ratio)## $p__Acidobacteriota
## odds ratio
## 0.7106417
##
## $p__Actinobacteriota
## odds ratio
## 0.2590167
##
## $p__Bacteroidota
## odds ratio
## 1.557417
##
## $p__Gemmatimonadota
## odds ratio
## 0.684851
##
## $p__Myxococcota
## odds ratio
## 2.752893
##
## $p__Proteobacteria
## odds ratio
## 1.223502
##
## $c__Acidobacteriae
## odds ratio
## 1.176164
##
## $c__Alphaproteobacteria
## odds ratio
## 1.138922
##
## $c__Bacteroidia
## odds ratio
## 1.557417
##
## $c__Gammaproteobacteria
## odds ratio
## 1.233855
##
## $c__Gemmatimonadetes
## odds ratio
## 0.7134832
##
## $c__Polyangia
## odds ratio
## 3.37105
##
## $o__Burkholderiales
## odds ratio
## 0.9959746
##
## $o__Caulobacterales
## odds ratio
## 1.442557
##
## $o__Chitinophagales
## odds ratio
## 1.366568
##
## $o__Cytophagales
## odds ratio
## 1.876752
##
## $o__Flavobacteriales
## odds ratio
## 3.37105
##
## $o__Gammaproteobacteria_Incertae_Sedis
## odds ratio
## 4.534428
##
## $o__Gemmatimonadales
## odds ratio
## 0.7134832
##
## $o__Rhizobiales
## odds ratio
## 2.283077
##
## $o__Sphingomonadales
## odds ratio
## 0.3304971
##
## $o__Xanthomonadales
## odds ratio
## 1.718467
##
## $f__Caulobacteraceae
## odds ratio
## 1.50201
##
## $f__Chitinophagaceae
## odds ratio
## 1.400058
##
## $f__Comamonadaceae
## odds ratio
## 1.602046
##
## $f__Devosiaceae
## odds ratio
## 22.69165
##
## $f__Gemmatimonadaceae
## odds ratio
## 0.7134832
##
## $f__Oxalobacteraceae
## odds ratio
## 1.158663
##
## $f__Rhizobiaceae
## odds ratio
## 2.542972
##
## $f__Rhodanobacteraceae
## odds ratio
## 1.496563
##
## $f__Sphingomonadaceae
## odds ratio
## 0.3304971
##
## $f__Unknown_Family
## odds ratio
## 4.534428
##
## $f__Xanthobacteraceae
## odds ratio
## 1.978932
##
## $f__Xanthomonadaceae
## odds ratio
## 1.790011
##
## $g__Acidibacter
## odds ratio
## 4.534428
##
## $`g__Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium`
## odds ratio
## 2.826685
##
## $g__Gemmatimonas
## odds ratio
## 1.35984
##
## $g__Lysobacter
## odds ratio
## 2.229048
##
## $g__Massilia
## odds ratio
## 1.247307
##
## $g__Niastella
## odds ratio
## 2.8053256.5 - calculate proportions of the fisher test
this functions will now take p values and oods ratio out of the fisher test output and into the heat tree
# extract p values and odds ration from the fisher tests and put it into the heat tree
fisher_to_heatTree(fisher_output = fisher_output_at,
ps_important_taxa = imp_ASV_ps_l$At)
6.6 - make one fisher summary heat tree per species
now, run these custom functions over lists of phyloseq objects separated by species with mapply
# run the custom function voer 2 lists of philoseq objects, one with imporntat taxa and other with the full taxa (for every partition)
fisher_result_l<-mapply(function (list_1,list_2)
fisher_all_taxa_groups(ps_important_taxa = list_1,
ps_all_taxa = list_2),
list_1 = imp_ASV_ps_l,
list_2 = ps_l,
SIMPLIFY = FALSE)
#run the custom function on a list of 3 species
fisher_summaries_3l<-mapply(function(list_1,list_2)
fisher_to_heatTree(fisher_output = list_1,
ps_important_taxa = list_2),
list_1 = fisher_result_l,
list_2 = imp_ASV_ps_l,
SIMPLIFY = FALSE)that’s it, thank you for your time!
I hope you found the workshop insightful and that you will find the code useful as a template you can improve. feel free to share this with collegues. as you know, you will need many microbiome tutorials for a complete, updated analysis.
BONUS FOR THE CURIOUS
Are you curious about all the data wrangling of these 2 custom functions? here you can execute a hard-coded version of the function, where you can visualize each object step by step.
#hard-code input arguments of fisher_all_taxa_groups()
ps_important_taxa<-imp_ASV_ps_l$At
fisher_output<-fisher_result
#######################################
######## make metacoder object ########
#######################################
imp_heat_ps<-ps_important_taxa
#remove unecessary taxonomic indo (dada2id, "S__" and" above_selected)
tax_table(imp_heat_ps)<-tax_table(imp_heat_ps)[,1:6]
# let's remove the "r__"ranks from the taxonomy, they can be useful but will pollute our plot
tax_table(imp_heat_ps)[, colnames(tax_table(imp_heat_ps))] <- gsub(pattern = "[a-z]__", # regular expression pattern to search for
x = tax_table(imp_heat_ps)[, colnames(tax_table(imp_heat_ps))], # "df"
replacement = "") # replacement for pattern
# transform from phyloseq to taxmap object
imp_heat<-parse_phyloseq(imp_heat_ps)## The following 22 of 114 (19.3%) input indexes have `NA` in their classifications:
## 8, 11, 12, 15, 17, 18, 19, 22 ... 66, 67, 90, 97, 98, 106, 110#######################################
######## aplly fdr to fisher ########
#######################################
#apply FDR correction to the p values
#single df with all p values
pvector<-do.call(rbind.data.frame, map(fisher_output,1))
# adjust the p value with fdr, then save as a list
adjusted_p<-p.adjust(p = pvector[[1]],
method = "fdr")%>%
as.list()
# adjust names
names(adjusted_p)<-names(fisher_output)
#this is the name that mustch match our fisher p list
taxon_id_metacoder<-lapply(imp_heat$taxa, function (x)
x$get_name())%>%
map(1)
# now turn that list into a df
taxon_id_metacoder<-do.call(rbind.data.frame, map(taxon_id_metacoder,1))
# and change column name
colnames(taxon_id_metacoder)<-"taxa_id"
# truns the p values into a dataframe
adjusted_p_input<-as.data.frame(t(as.data.frame(adjusted_p)))%>%
rownames_to_column()
#change column names
colnames(adjusted_p_input)<-c("taxa_id", "fdr_p")
# now join both df
fdr_for_heatTree<-left_join(taxon_id_metacoder,
adjusted_p_input,
by = "taxa_id")
#######################################################################
################### add fold changes! ########################################
#######################################################################
# get odds ratio for each taxa
odd_list<- map(fisher_output,3)%>%
map(1)
# truns the p values into a dataframe
odd_list<-as.data.frame(t(as.data.frame(odd_list)))%>%
rownames_to_column()
#change column names
colnames(odd_list)<-c("taxa_id", "odds_ratio")
# now join both df
fisher_for_heatTree<-left_join(fdr_for_heatTree,
odd_list,
by = "taxa_id")
#NAs will crash metadore. let's change them with 0.9999 for now
fisher_for_heatTree[is.na(fisher_for_heatTree)]<-"1"
#change structure to numeric
fisher_for_heatTree$fdr_p<-as.numeric(fisher_for_heatTree$fdr_p)
fisher_for_heatTree$odds_ratio<-as.numeric(fisher_for_heatTree$odds_ratio)
#now let's dim p values above 0.1, or else we can get counfounded
#fisher_for_heatTree$fdr_p[fisher_for_heatTree$fdr_p>0.1]<-1
#######################################################################
############### now plot the heat tree ###############
#######################################################################
set.seed(1)
output<- heat_tree(imp_heat,
node_size = fisher_for_heatTree$odds_ratio, # n_obs is a function that calculates, in this case, the number of OTUs per taxon
node_color = fisher_for_heatTree$fdr_p,
node_label = taxon_names,
node_size_axis_label = "Size: oods_ratio",
node_color_interval = c(0, 0.15),
edge_color_interval = c(0, 0.15),
node_color_range = c("darkgreen", "seagreen", "yellowgreen", "grey"),
edge_color_range = c("darkgreen", "seagreen", "yellowgreen", "grey"),
node_color_axis_label = "Color: FDR-adjusted p",
layout = "davidson-harel", # The primary layout algorithm
initial_layout = "reingold-tilford") # The layout algorithm that initializes node locations